CN110968362B - Application running method, device and storage medium - Google Patents

Abstract

The disclosure relates to an application running method, an application running device and a storage medium, and belongs to the technical field of terminals. The method comprises the following steps: the method comprises the steps that first equipment collects voice data; the first device generates a voice control instruction based on the voice data; the first equipment sends a voice control instruction to the second equipment; the second device determines to start the running target quick application according to the voice control instruction; and the second equipment starts the target quick application and displays a user interface of the target quick application. In the technical scheme provided by the embodiment of the disclosure, the fast application is an application which is operated based on the fast application framework in the operating system and does not need to be manually installed, so that the fast application can be rapidly started and operated in the second equipment, and the function provided by the fast application is obtained, thereby improving the efficiency of application starting and operation. The remote control is realized by voice to start and run the fast application in a certain device, manual operation of a user is not needed, and the operation experience of no hand is realized.

Description

Application running method, device and storage medium

Technical field

The embodiments of the present disclosure relate to the field of terminal technology, and in particular, to an application running method, device, and storage medium.

Background technique

Currently, users can download and install various applications on mobile phones, smart TVs and other devices to meet different usage needs.

However, when a user needs to use an application on a certain device, he first needs to download and install the application on the device. However, downloading and installing often takes a long time, resulting in low efficiency in starting and running the application.

Contents of the invention

Embodiments of the present disclosure provide an application running method, device and storage medium. The technical solution is as follows:

According to a first aspect of an embodiment of the present disclosure, an application running method is provided, and the method includes:

Receive a voice control instruction sent by the first device, where the voice control instruction is a control instruction generated based on the voice data;

Determine to start and run the target quick application according to the voice control instruction. The quick application is an application that runs based on the quick application framework integrated in the operating system and does not require manual installation;

Start and run the target quick application, and display the user interface of the target quick application.

Optionally, the startup and running of the target quick application include:

If the application file of the target quick application has been stored in the quick application framework, start and run the target quick application based on the application file through the quick application framework;

or,

If the application file of the target quick application is not stored in the quick application framework, the application file is downloaded from the quick application warehouse through the quick application framework, and the application file is started to run based on the application file through the quick application framework. The above goals are quickly applied.

Optionally, the voice control instruction includes the voice data;

Determining to start running the target quick application according to the voice control instruction includes:

Send a voice recognition request to the server, where the voice recognition request includes the voice data;

Receive the recognition result corresponding to the voice data sent by the server;

It is determined to start running the target quick application according to the identification result.

Optionally, the voice control instruction includes a recognition result corresponding to the voice data;

Determining to start running the target quick application according to the voice control instruction includes:

It is determined to start running the target quick application according to the identification result.

According to a second aspect of the embodiment of the present disclosure, an application running method is provided, and the method includes:

Collect voice data;

Generate voice control instructions based on the voice data;

Send the voice control instruction to a second device, and the second device is configured to start running the target quick application when it is determined to start running the target quick application according to the voice control instruction, and display the user of the target quick application. interface;

Wherein, the quick application is an application that runs based on a quick application framework integrated in the operating system and does not require manual installation.

Optionally, the method also includes:

Obtain at least one candidate device, where the candidate device refers to a device that supports running the quick application;

Select the closest candidate device from the at least one candidate device as the second device.

Optionally, the method also includes:

Obtain at least one candidate device, where the candidate device refers to a device that supports running the quick application;

Display a device selection interface, the device selection interface including the at least one candidate device;

Obtaining a selection instruction corresponding to a target candidate device among the at least one candidate device;

The target candidate device is determined as the second device.

Optionally, generating voice control instructions based on the voice data includes:

Send a voice recognition request to the server, where the voice recognition request includes the voice data;

Receive the recognition result corresponding to the voice data sent by the server;

The voice control instruction is generated, and the voice control instruction includes the recognition result.

According to a third aspect of the embodiment of the present disclosure, an application running device is provided, and the device includes:

An instruction receiving module configured to receive a voice control instruction sent by the first device, where the voice control instruction is a control instruction generated based on voice data;

The application determination module is configured to determine to start and run the target quick application according to the voice control instruction. The quick application is an application that runs based on the quick application framework integrated in the operating system and does not require manual installation;

The application startup module is configured to start and run the target quick application, and display the user interface of the target quick application.

Optionally, the application launching device is configured to start and run the target quick application based on the application file through the quick application framework if the application file of the target quick application has been stored in the quick application framework; Alternatively, if the application file of the target quick application is not stored in the quick application framework, the application file is downloaded from the quick application warehouse through the quick application framework, and is launched based on the application file through the quick application framework. Run the target quick application.

Optionally, the voice control instruction includes the voice data;

The application determination module is configured as:

Send a voice recognition request to the server, where the voice recognition request includes the voice data;

Receive the recognition result corresponding to the voice data sent by the server;

It is determined to start running the target quick application according to the identification result.

Optionally, the voice control instruction includes a recognition result corresponding to the voice data;

The application determination module is configured to determine to start and run the target quick application according to the identification result.

Optionally, the target quick application includes a first quick application and a second quick application that have an associated relationship;

The device also includes:

The interface display module is configured to display the user interface of the first quick application and the user interface of the second quick application in split screens.

According to a fourth aspect of the embodiment of the present disclosure, an application running device is provided, and the device includes:

A data collection module configured to collect voice data;

an instruction generation module configured to generate a voice control instruction based on the voice data;

The instruction sending module is configured to send the voice control instruction to a second device, and the second device is configured to start and run the target quick application when it is determined to start running the target quick application according to the voice control instruction, and display the The user interface of the target quick application; wherein the quick application is an application that runs based on the quick application framework integrated in the operating system and does not require manual installation.

Optionally, the device also includes:

A device acquisition module configured to acquire at least one candidate device, where the candidate device refers to a device that supports running the quick application;

A device selection module is configured to select the closest candidate device from the at least one candidate device as the second device.

Optionally, the device also includes:

A device acquisition module configured to acquire at least one candidate device, where the candidate device refers to a device that supports running the quick application;

An interface display module configured to display a device selection interface, the device selection interface including the at least one candidate device;

an instruction acquisition module configured to acquire a selection instruction corresponding to the target candidate device among the at least one candidate device;

and a device determining module configured to determine the target candidate device as the second device.

Optionally, the instruction generation module is configured as:

Send a voice recognition request to the server, where the voice recognition request includes the voice data;

Receive the recognition result corresponding to the voice data sent by the server;

The voice control instruction is generated, and the voice control instruction includes the recognition result.

According to a fifth aspect of the embodiment of the present disclosure, an application running device is provided, and the device includes:

processor;

memory for storing executable instructions for the processor;

Wherein, the processor is configured as:

Receive a voice control instruction sent by the first device, where the voice control instruction is a control instruction generated based on the voice data;

Determine to start and run the target quick application according to the voice control instruction. The quick application is an application that runs based on the quick application framework integrated in the operating system and does not require manual installation;

Start and run the target quick application, and display the user interface of the target quick application.

According to a sixth aspect of the embodiment of the present disclosure, an application running device is provided, and the device includes:

processor;

memory for storing executable instructions for the processor;

Wherein, the processor is configured as:

Collect voice data;

Generate voice control instructions based on the voice data;

Send the voice control instruction to a second device, and the second device is configured to start running the target quick application when it is determined to start running the target quick application according to the voice control instruction, and display the user of the target quick application. interface;

Wherein, the quick application is an application that runs based on a quick application framework integrated in the operating system and does not require manual installation.

According to a seventh aspect of the embodiment of the present disclosure, a non-transitory computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the application running method described in the first aspect is implemented. A step of.

According to an eighth aspect of the embodiments of the present disclosure, another non-transitory computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the application operation described in the second aspect is implemented. Method steps.

The technical solutions provided by the embodiments of the present disclosure can bring the following beneficial effects:

By generating a voice control instruction based on the voice data collected by the first device, the first device sends the voice control instruction to the second device. When the second device determines to start the target quick application based on the voice control instruction, the second device starts the target quick application. And display the user interface of the target quick application. Since a quick app is an application that runs based on the quick app framework in the operating system and does not require manual installation, the quick app can be quickly started and run on the second device and the functions provided by the quick app can be obtained, thus improving the startup and running of the application. s efficiency.

In addition, remote control through voice can be used to start and run quick applications on a certain device, without the need for manual operation by the user, achieving a "hands-free" operating experience.

It should be understood that the foregoing general description and the following detailed description are exemplary and explanatory only, and do not limit the present disclosure.

Description of drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the disclosure and together with the description, serve to explain the principles of the disclosure.

Figure 1 is a schematic diagram of an implementation environment according to an exemplary embodiment;

Figure 2 is a flow chart of an application running method according to an exemplary embodiment;

Figure 3 shows a schematic diagram of a selection method on a device selection interface;

Figures 4 and 5 show schematic diagrams of two user interface display steps;

Figure 6 shows a schematic diagram of an application running method;

Figure 7 shows a schematic diagram of another application running method;

Figure 8 shows a schematic diagram of yet another application running method;

Figure 9 is a block diagram of a quick application framework according to an exemplary embodiment;

Figure 10 is a startup flow chart of a quick application according to an exemplary embodiment;

Figure 11 is a block diagram of an application running device according to an exemplary embodiment;

Figure 12 is a block diagram of an application running device according to another exemplary embodiment;

Figure 13 is a block diagram of an application running device according to another exemplary embodiment;

Figure 14 is a block diagram of an application running device according to another exemplary embodiment;

Figure 15 is a block diagram of a device according to an exemplary embodiment.

Detailed ways

Exemplary embodiments will be described in detail herein, examples of which are illustrated in the accompanying drawings. When the following description refers to the drawings, the same numbers in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following exemplary embodiments do not represent all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with aspects of the disclosure as detailed in the appended claims.

Quick application is a new application form based on mobile phone hardware platform. It does not require installation, can be used immediately, and has a native application experience (performance, system integration, interaction, etc.). At the same time, fast applications have achieved standardization and unification among mobile phone manufacturers in terms of development specifications, capability access, and developer services since their inception, greatly reducing developers' adaptation costs.

Compared with traditional applications, quick applications have the following characteristics:

Instant: Click to use, users don’t need to wait;

Everywhere: Deeply integrated with mobile phone usage scenarios, with entrances everywhere (search, smart assistant, smart recommendation, app market, browser...);

Efficient: Quasi-front-end development method, high efficiency.

Due to the particularity of quick apps, quick apps are expected to complete more tasks and implement more functions. At present, the functions of quick applications are being gradually improved. Embodiments of the present disclosure provide a new function of quick applications. This new function can be used to enable the terminal to quickly open applications with specific functions, expand the functions of quick applications, and improve the efficiency of quick applications. Application processing power and practicality.

FIG. 1 is a schematic diagram of an implementation environment according to an exemplary embodiment. The implementation environment may include: a first device 10, a second device 20 and a server 30.

The first device 10 may be an electronic device such as a speaker, a mobile phone, a tablet computer, an e-book reader, a multimedia playback device, a wearable device, a PC (Personal Computer), and the like. In this embodiment of the present application, the first device 10 may be any device with a voice collection function.

The second device 20 may be an electronic device such as a television, a mobile phone, a tablet computer, a multimedia playback device, a PC, etc. In this embodiment of the present application, the second device 20 may be any device configured with a display screen.

Optionally, an operating system may be included in the second device 20 . The operating system is a computer program used to manage the hardware and software resources of the second device 20 . In this embodiment of the present disclosure, the quick application framework is installed in the operating system. Optionally, the above-mentioned operating system may be an Android operating system, an iOS operating system, a Windows operating system, or other customized operating systems, or a self-developed operating system, which is not limited in the embodiments of the present disclosure.

The server 30 is used to provide background services for the first device 10 or the second device 20 . In the embodiment of the present disclosure, the server 30 is configured to provide a speech recognition function for the speech data obtained by the first device 10 or the second device 20 . Optionally, the server 30 may be one server, a server cluster composed of multiple servers, or a cloud computing service center.

The first device 10, the second device 20 and the server 30 can communicate with each other through the network. The network can be a wired network or a wireless network.

FIG. 2 is a flowchart of an application running method according to an exemplary embodiment. This method is applied in the implementation environment described in Figure 1. The method may include the following steps (201~205):

In step 201, the first device collects voice data.

The first device refers to a device with voice collection function, such as a speaker, mobile phone or recorder, etc. Voice data refers to data obtained through digital processing of the user's voice collected by the first device. In this embodiment of the present disclosure, the first device may obtain the user's voice by recording. It should be noted that there may be noise in the speech acquired by the first device. The noise may be noise caused by environmental factors or background noise of the first device.

In a possible implementation, after collecting the user's voice, the first device performs digital processing on the voice to generate initial voice data, performs filtering on the initial voice data to remove noise data, and obtains the voice data corresponding to the user's voice. Voice data. The above-mentioned filtering processing method may be limiting filtering, median filtering, Gaussian filtering, etc., which is not limited in the embodiments of the present disclosure. In another possible implementation, after collecting the user's voice, the first device extracts text information in the voice, filters out noise, and digitally processes the text information to obtain corresponding audio data.

In step 202, the first device generates a voice control instruction based on the voice data.

Voice control instructions refer to instructions used to control the second device to start and run the corresponding quick application. In a possible embodiment, the voice control instruction includes the above audio data. Optionally, after acquiring the audio data, the first device acquires the voice control instruction based on the audio data. In another possible implementation, the above voice control instruction includes a recognition result of audio data.

The above two voice control instructions with different contents will be introduced in detail below and will not be described in detail here.

In step 203, the first device sends a voice control instruction to the second device.

The second device is used to start and run the target quick application and display the user interface of the target quick application when it is determined to start and run the target quick application according to the voice control instruction. Among them, quick apps are applications that run based on the quick app framework integrated in the operating system and do not require manual installation.

It should be noted that the above-mentioned second device is a device within a preset range, such as a device within the visual range of the user. In a possible implementation, the second device is determined by the first device. Optionally, the above step 203 includes the following steps:

1. Obtain at least one candidate device.

Candidate devices refer to devices that support running quick applications. Optionally, after receiving the above voice control instruction, the first device acquires at least one device within the preset range as a candidate device. The preset range may be a range centered on the first device or user, and the distance from the first device or user does not exceed a preset threshold. The threshold may be 10m, 20m, or 30m, etc. This disclosure implements This is not a limitation.

Optionally, if there is no candidate device within the above-mentioned preset range, the first device can send a move request to the user, and the move request is used to remind the user to re-record the voice after moving the location. Optionally, the presentation form of the mobile request is related to the type of the first device. If the first device is equipped with a speaker, the movement request can be displayed in the form of voice; if the first device is equipped with a display screen, the movement request can be displayed in the form of text display.

It should be noted that since opening a quick app does not require application installation in advance, the above candidate device can be a device with a quick app framework integrated in any operating system.

2. Select the closest candidate device from at least one candidate device as the second device.

Optionally, while acquiring the candidate device, the first device acquires the distance between the candidate device and the first device or user. Further, the first device compares the distance corresponding to each candidate device, and selects the distance corresponding to the first device or user. The closest candidate device is used as the second device.

In another possible implementation, the above-mentioned second device is selected by the user. Optionally, the above step 203 includes the following steps:

1. Obtain at least one candidate device.

The method of obtaining candidate devices has been introduced above and will not be described again here.

2. Display the device selection interface.

The device selection interface refers to the interface used to display candidate devices to the user. Optionally, the device selection interface includes an identification of at least one candidate device. The logo can be displayed in the form of an image. It should be noted that in this case, the above-mentioned first device needs to be equipped with a display screen.

Of course, for the first device that is not configured with a display screen, candidate devices can be presented to the user through voice prompts, and the user can be reminded to select an appropriate second device. For example, when the first device is a smart speaker, after obtaining the candidate devices, a prompt voice "Please select device 1, device 2 or device 3 as the device to perform the operation" is issued to the user.

3. Obtain a selection instruction corresponding to the target candidate device among at least one candidate device.

The selection instructs the user to control the first device to select a corresponding target candidate device. Optionally, the user can generate voice control instructions by clicking or speaking. For example, for a first device configured with a display screen, the user can click on the logo of device 1 to select device 1 as a target candidate device; or, the user selects device 1 as a target candidate device by saying "select device 1", and the first device collects user information. After the speech, speech recognition is performed, and device 1 is determined to be the target candidate device.

4. Determine the target candidate device as the second device.

Optionally, the first device uses the above target candidate device as the second device and sends a voice control instruction to the second device. Further, the second device starts and runs the corresponding target quick application through the voice control instruction.

For example, with reference to Figure 3, after the mobile phone 31 collects the voice information "Purchase Product A" stated by the user, it obtains the voice control instructions through speech recognition, and displays the device selection interface 32 on the mobile phone 31. The device selection interface 32 Including logos corresponding to the living room TV, bedroom TV and bedroom computer, the user selects the living room TV as the second device by clicking on the logo of the living room TV. Further, the mobile phone 31 sends the above voice control command to the living room TV. Further, the user of the living room TV Interface 33 displays the payment-to-be-paid interface of commodity A. The above identification may include the type of the second device, the style of the second device, the location of the second device, etc.

In this embodiment of the present disclosure, after obtaining the above-mentioned voice control instruction and the second device, the first device sends the voice control instruction to the second device. Correspondingly, the second device receives the voice control instruction sent by the first device.

In a possible embodiment, the above voice control instruction includes voice data. Optionally, after the first device collects the user's voice, the voice is converted into voice data through digital processing, and the voice data is sent to the second device as part of the voice control instruction. Further, the second device recognizes the above-mentioned voice data, and performs corresponding operations on the relevant quick application according to the recognition results. Taking the first device as a speaker as an example, the speaker collects the user's voice as "Open application B", and further converts the voice into voice data and sends it to the above-mentioned second device. Then, the second device performs voice processing on the voice data. Recognize, and open quick application B according to the recognition result; or, the user's voice collected by the speaker is "Buy product A", further, the voice is converted into voice data and sent to the above-mentioned second device, and then the second device This voice data is used for speech recognition, and based on the recognition results, a quick app with a purchasing function is opened to purchase product A.

In another possible embodiment, the above voice control instruction includes a recognition result corresponding to the voice data. After collecting the user's voice, the first device performs speech recognition on the voice to generate a recognition result, and sends the recognition result to the second device as part of the voice control instruction. Further, the second device performs corresponding operations on the relevant quick application according to the voice control instruction. Taking the first device as a speaker as an example, the speaker collects the user's voice as "open application B". Further, it performs speech recognition on the voice and generates a voice control instruction. The voice control instruction is used to control the second device to open quick application B. , then, the first device sends the above voice control instruction to the second device, and the second device starts application B according to the voice control instruction.

In step 204, the second device determines to start running the target quick application according to the voice control instruction.

Quick apps are applications that run based on the quick app framework integrated in the operating system and do not require manual installation. The target quick application refers to the quick application that needs to be started and run based on the above voice control instructions. It should be noted that the number of the target quick application may be one or multiple, and this is not limited in the embodiment of the present disclosure.

Optionally, the target quick application includes a first quick application and a second quick application that have an associated relationship. In a possible implementation, the association relationship refers to the same function. That is to say, if the functions of the first quick application and the second quick application are the same, the second device opens the first application and the second quick application at the same time according to the above voice control instruction. For example, if the second device learns that the user needs to purchase product A according to the above voice control instruction, the second device opens the first quick application and the second quick application with the purchase function at the same time.

In another possible implementation, the association relationship refers to the possibility of simultaneous use of quick applications. In other words, when the user is using the first application, he may need to use the second application at the same time. For example, if the second device learns based on the above voice control instructions that the user needs to browse various parameters of product A, such as appearance parameters, functional parameters, configuration parameters, etc., then the second device can simultaneously open the video app that records the parameters of product A, and record An information quick application for the parameters of product A and a quick purchase application for recording the purchase status of product A. Of course, the purchase quick app can also provide users with the function of purchasing product A. Optionally, the user can also set the first application and the second application with an associated relationship in advance.

The above two voice control instructions with different contents will be introduced in detail below and will not be described in detail here.

In step 205, the second device starts running the target quick application and displays the user interface of the target quick application.

The user interface refers to the display interface corresponding to the target quick application. Optionally, the display interface may be the home page interface of the target quick application, or may be an interface corresponding to any function of the target quick application, such as a purchase interface, a playback interface, or a reading interface, which are not limited in this embodiment of the disclosure.

In this embodiment of the present disclosure, after receiving the above voice control instruction, the second device determines the corresponding target quick application according to the voice control instruction, and starts running the target quick application. In a possible implementation, the target quick application is a historical quick application in the second device, that is, the user has used the target quick application in the second device. In this case, the second device operates The application file of the corresponding target quick application has been stored in the system's quick application framework, and the second device can launch the corresponding target quick application based on the corresponding file through the above-mentioned quick application framework. In another possible implementation, the target quick application is a new type of quick application in the second device, that is, the user has not used the target quick application in the second device. In this case, the second quick application The application file of the corresponding target quick application is not stored in the quick application framework of the device operating system. The second device can download the above-mentioned application file from the quick application warehouse through the quick application framework, and start and run the corresponding application file based on the above-mentioned quick application framework. The goal is to apply quickly.

Optionally, the above-mentioned second device is configured with a display screen, and while starting and running the above-mentioned target quick application, the user interface of the target application is displayed on the second device. One thing that needs to be explained is that the display content of the above user interface is also different depending on the type of target quick application. For example, for a video quick application, the above user interface can display a video list; for a novel quick application, the above user interface can display a novel list.

For example, with reference to FIG. 4 , the speaker 41 collects the voice information said by the user 42 “Open novel xxx”. Further, the speaker 41 converts the voice information into voice data and generates voice control instructions to send to the TV 43 . Then, the TV 43 displays the user interface on the screen according to the voice control instruction. Among them, the user interface includes the novel xxx44. Of course, TV 43 can also display the recent browsing interface of novel xxx 44 based on the reading record of novel xxx44.

It should be noted that since the number of the above-mentioned target quick applications can be one or more, the above-mentioned user interface can display user interfaces corresponding to different quick applications in split screens. Optionally, the target quick application includes a first application and a second quick application that have an associated relationship. After determining the target quick application, the second device displays the user interface of the first application and the user interface of the second application in split screens. user interface. For example, with reference to FIG. 5 , the speaker 51 collects the user's voice information "How is product A?". Further, the speaker 51 converts the voice information into data and generates voice control instructions to send to the TV 52 . Then, the TV 52 displays the user interface 53 of the first quick application and the user interface 54 of the second quick application on the screen according to the voice control instruction. The user interface 53 includes a video introducing product A, and the user interface 54 includes text introducing product A.

To sum up, in the technical solution provided by the embodiments of the present disclosure, a voice control instruction is generated based on the voice data collected by the first device, and the first device sends the voice control instruction to the second device. When the second device controls the When the instruction determines to start running the target quick app, start running the target quick app and display the user interface of the target quick app. Since a quick app is an application that runs based on the quick app framework in the operating system and does not require manual installation, the quick app can be quickly started and run on the second device and the functions provided by the quick app can be obtained, thus improving the startup and running of the application. s efficiency.

In addition, remote control through voice can be used to start and run quick applications on a certain device, without the need for manual operation by the user, achieving a "hands-free" operating experience.

In addition, since the quick app file data corresponding to the quick app is small and the time period required to download it, multiple quick apps with associated relationships can be opened at the same time according to the same voice control command, which is easy to operate, improves the display probability of useful information, and is convenient for users. Make subsequent judgments.

In addition, the quick app framework can be used to open the target quick app based on the stored quick app file, which is simple to operate and saves time. Even if the quick app file of the target application is not stored, the second device can automatically download and obtain the target quick app file from the quick app warehouse, and start running the target quick app. Since the data of the quick app file is small, downloading it from the quick app warehouse It requires less time, so it can ensure the rapid startup and operation of the target quick application, and realize the "click-and-use" function of the quick application.

It should be noted that the method introduced in the embodiment of Figure 2 above is mainly to obtain the voice control instruction through voice data. In actual situations, the image control instruction can also be obtained through image data, and the second computer can be controlled according to the image control instruction. The device starts and runs the corresponding quick app. Of course, in a possible embodiment, the second device can send an instruction acquisition request to the corresponding device according to actual environmental conditions, and further perform subsequent steps. For example, when the ambient light intensity is high, an instruction acquisition request is sent to a device with voice collection function. At this time, other devices with image collection function do not operate to reduce overhead; for another example, when the environment is noisy, , sending an instruction acquisition request to the device with the image collection function. At this time, other devices with the voice collection function will not operate.

Next, the above voice control instructions are introduced.

In a possible implementation, the above voice control instructions include voice data. That is to say, the first device generates a voice control instruction after acquiring the voice data and sends it to the second device. Further, the second device can perform voice recognition on the voice data to generate a recognition result, and start running the target application based on the recognition result. program. By way of example, this situation is explained with reference to FIG. 6 .

Step 61: The first device generates a voice control instruction based on the voice data.

Step 62: The first device sends a voice control instruction to the second device.

Step 63: The second device receives the voice control instruction and sends a voice recognition request to the server.

The speech recognition request is used to request the server to perform speech recognition on the above speech data. Optionally, after collecting the user's voice, the first device converts the voice into voice data through digital processing, and sends the voice data to the second device as part of the voice control instruction. Further, after receiving the above voice control instruction, the second device sends a voice recognition request to the server. Then, the server performs voice recognition on the above voice data to obtain a recognition result, and sends the recognition result to the second device.

Step 64: The second device receives the recognition result corresponding to the voice data sent by the server.

The recognition result refers to the text information corresponding to the above-mentioned voice data. In this embodiment of the present disclosure, after the second device sends the above-mentioned speech recognition request to the server, the server performs speech recognition on the speech data in the speech recognition request to obtain a recognition result. Optionally, after obtaining the above recognition result, the server sends the recognition result to the second device.

In one possible implementation, the above-mentioned recognition results include text corresponding to the user's voice. That is to say, after the server performs speech recognition on the above-mentioned voice data, it restores the text corresponding to the user's voice and sends the text to Secondary device. For example, the user says "I want to buy product A" to the first device. The first device converts the user's voice into voice data and sends it to the second device. Furthermore, the second device server restores the text "I" based on the above voice data. Want to buy product A" and send the corresponding text to the second device. Optionally, the second device performs a corresponding operation based on the text, such as opening the quick app to place an order for product A.

In another possible implementation, the above-mentioned recognition results include execution instructions corresponding to the user's voice. That is to say, after the server performs speech recognition on the above-mentioned voice data, it extracts the execution instructions corresponding to the user's voice and adds the execution instructions to the user's voice. The command is sent to the second device. Optionally, the server can obtain the corresponding execution instructions by extracting keywords. For example, the user says "I want to buy product A" to the first device, and the first device converts the user's voice into voice data and sends it to the second device. Furthermore, the second device server extracts the execution instructions based on the above voice data. Open the quick purchase application and add product A to the shopping cart" and send the corresponding execution instructions to the second device. Wherein, the above execution instructions are used to control the second device to perform corresponding operations on the corresponding quick application. Optionally, the second device performs the corresponding operation after receiving the above execution instruction.

Step 65: The second device determines to start running the target quick application based on the recognition result.

The target quick application refers to the command execution quick application corresponding to the recognition result. In this embodiment of the present disclosure, after receiving the above recognition result, the second device determines to start running the corresponding target quick application according to the corresponding recognition result. It should be noted that the target quick application may be one or multiple, which is not limited in this embodiment of the disclosure.

In another possible implementation, the above voice control instructions include recognition results of voice data. That is to say, after acquiring the voice data, the first device performs speech recognition to generate a recognition result, and generates a voice control instruction based on the recognition result and sends it to the second device. Further, the second device starts based on the recognition result in the voice control instruction. Run the corresponding target quick application. By way of example, this situation is explained with reference to FIG. 7 .

Step 71: The first device collects voice data and sends a voice recognition request to the server.

The speech recognition request includes the above-mentioned speech data. Optionally, after acquiring the audio data, the first device sends the audio data to the server. Further, after acquiring the audio data, the server performs speech recognition on the audio data to generate a recognition result, and sends the recognition result to First device.

Step 72: The first device receives the recognition result corresponding to the voice data sent by the server.

The recognition result refers to the text information corresponding to the above-mentioned voice data. The text information may be text corresponding to the user's voice, or may be an execution instruction extracted from the text corresponding to the user's voice, which is not limited in the embodiments of the present disclosure.

In one possible implementation, the above-mentioned recognition results include text corresponding to the user's voice. That is to say, after the server performs speech recognition on the above-mentioned voice data, it restores the text corresponding to the user's voice and sends the text to First device. For example, the user says "I want to buy product A" to the first device. The first device converts the user's voice into voice data and sends it to the server. Further, the server restores the text "I want to buy product A" based on the above voice data. ”, and send the corresponding text to the first device as part of the content corresponding to the recognition result.

In another possible implementation, the recognition result includes execution instructions corresponding to the user's voice. That is to say, after the server performs speech recognition on the above-mentioned voice data, it extracts the execution instructions corresponding to the user's voice and converts the execution instructions Sent to the first device. Optionally, the server can obtain the corresponding execution instructions by extracting keywords. For example, the user says "I want to buy product A" to the first device, and the first device converts the user's voice into voice data and sends it to the server. Further, the server extracts the execution instruction "Open the purchase fast application" based on the above voice data. "Add product A to the shopping cart" and send the corresponding execution instruction to the first device as part of the recognition result.

Step 73: The first device generates a voice control instruction and sends the voice control instruction to the second device.

The voice control instructions include the above recognition results. Optionally, after obtaining the above recognition result, the first device generates a corresponding voice control instruction according to the recognition result. Optionally, the voice control instruction may include text corresponding to the user's voice, or may include an execution instruction corresponding to the text corresponding to the user's voice, which is not limited in this embodiment of the disclosure.

Step 74: The second device receives the voice control instruction and starts running the corresponding target quick application.

In this embodiment of the present disclosure, the above voice control instruction includes a recognition result of the voice data. Further, the second device determines to start running the target quick application based on the recognition result, and starts running the target quick application.

In addition, with reference to FIG. 8 , the present disclosure is introduced and explained by taking the interaction between the speaker and the TV as an example.

Step 81: The speaker collects voice data.

Step 82: The speaker generates a voice control instruction based on the voice data and obtains at least one candidate device.

Step 83: The speaker obtains the selection instruction through voice collection.

Step 84: The speaker determines that the second device is a television according to the selection instruction.

Step 85: The speaker sends a voice control command to the TV.

Step 86: The TV performs speech recognition on the voice control instruction to generate a recognition result.

Step 87: The TV determines the target fast application based on the recognition result.

Step 88: The TV starts running the target quick application.

Figure 9 is a block diagram 900 of a quick application framework illustrating an exemplary embodiment of the present disclosure. The quick application framework includes: a scene portal 920, a quick application engine 940, and an operating system (Operating System, OS) infrastructure & hardware 960.

The scene entrance 920 includes at least one of negative screen, global search, lock screen, desktop, application market, browser and QR code. The external presentation form of the scene entrance 920 may be a page form or a card form.

The quick application engine 940 includes a front-end framework 941 , a general scenario 942 , a lightweight scenario 943 , an embedded SDK (Software Development Kit) 944 and a business access 945 .

Among them, the front-end framework 941 includes MVVM (Model-View-View-Model), V-DOM, routing, basic API (Application Programming Interface, application programming interface), business API, UI (UserInterface, user interface) components, etc.;

General scenarios 942 and lightweight scenarios 943 include JavaScript engine, standard rendering engine, ultra-fast rendering engine, device-cloud-core acceleration, security mechanism, emerging scenarios (AI (Artificial Intelligence, artificial intelligence), AR (Augmented Reality, augmented reality) etc.), system integration (application management, rights management, etc.);

Business access 945 includes push, account/payment, etc.

OS infrastructure & hardware 960 includes: graphics libraries, native controls, system services, GPU (Graphics Processing Unit, graphics processor)/NPU (Neural-network Processing Unit, embedded neural network processor), etc.

From the execution path level, there are standard HTML5 methods that support common Web scenarios (generally through the system's Webview component or customized Webview), and JS (JavaScript) + Native methods that support a lighter and faster experience. The following will briefly introduce the architecture of the quick application engine in three aspects.

1) Application development (front-end framework + components & API capabilities)

The front-end design of quick applications draws on and integrates the design ideas of mainstream front-end frameworks (Vue, React, etc.): building applications in a componentized manner, using the MVVM design pattern with data binding as the core, and using V-DOM to improve performance. At the same time, a simple and clear Vue-like template was chosen. At the same time, the layout has been streamlined accordingly. From the perspective of new application forms, mapping native UI, and open capabilities, it is necessary to define a set of component and API specifications to facilitate the rapid development of applications.

2) System integration (application management, card-embedded SDK, security mechanism, etc.)

As a complete application form, quick applications can be deeply integrated with the system, run like native applications, and interact with the system. Quick apps currently come in two forms: full-screen standalone applications and embedded card forms. In the form of an independent application, the user experience is like a native application, with complete life cycle management, page management, routing, etc. Quick apps can be parasitic on Android Activity, pages can be parasitic on Fragments, and instances can be managed and controlled through independent background services. Cards are another form. They are embedded into every corner of the system as an independent local control through the embedded SDK, displaying dynamic content in a lightweight manner. In terms of security isolation, better security can be achieved through sandbox mechanism, process isolation, permission control, and support from the operating system layer.

3) Performance experience & emerging scenarios (JavaScript engine, rendering engine, device-cloud-core acceleration, emerging scenarios)

In terms of interactive experience, resource overhead, and stability, quick applications introduce the native rendering path to achieve an effective combination of front-end development methods + native rendering and platform capabilities.

Unlike other cross-platform frameworks at the application layer, quick applications are rooted in the mobile operating system, enabling deep integration from chip <--> operating system <--> cloud. The combination of the device and the cloud takes startup performance acceleration as an example. Through the collaborative rendering of the cloud and the device, the optimization of the network link layer can greatly accelerate the startup speed of fast applications. At the same time, the unique capabilities of the hardware platform can be integrated to further enhance the experience. For example, it can be combined with mobile phone AI chips to integrate the computing power of NPU into the fast application engine, so that AI scenarios (face recognition, image super-resolution, etc.) can be executed with low latency and high performance on the device side, while effectively protecting Improves user privacy and saves bandwidth.

Figure 10 shows a startup flow chart of a quick application according to an exemplary embodiment of the present disclosure, including:

1) When starting for the first time, the user clicks to trigger the download of the quick app package, and at the same time does the work related to the initialization of the quick app engine. After the entire quick app package is downloaded and verified, the JavaScript file of the first page that needs to be displayed will be loaded and rendered. Program package downloading is the bottleneck in this process. Judging from early measured data, it takes at least 400 milliseconds to download a 200K package under a normal network, and more than 2 seconds for a 2M package.

2) Page rendering includes JavaScript loading, execution of page and JavaScript framework logic, layout calculations, and finally the drawing of native UI controls. Among them, when the logic in the page is executed, there will be one or more network requests (the page is sent to the application's own third-party server), and the data returned by the network request drives the page to be re-rendered until the first screen content is fully displayed.

Here, network requests, JavaScript execution, typesetting, and drawing are not simply serial relationships, but are intertwined in parallel, affecting the rendering performance of the entire page, and are strongly related to the logic of the page design, network conditions, and device operating status.

The following are device embodiments of the present disclosure, which can be used to perform method embodiments of the present disclosure. For details not disclosed in the device embodiments of the disclosure, please refer to the method embodiments of the disclosure.

Figure 11 is a block diagram of an application running device according to an exemplary embodiment. The device has the function of implementing the above-mentioned application running method on the second device side. The function may be implemented by hardware, or may be implemented by hardware executing corresponding software. The device may be a second device, or may be provided in the second device. The device 1100 may include: an instruction receiving module 1101, an application determining module 1102, and an application starting module 1103.

The instruction receiving module 1101 is configured to receive a voice control instruction sent by the first device, where the voice control instruction is a control instruction generated based on voice data.

The application determination module 1102 is configured to determine, according to the voice control instruction, a target quick application to start and run. The quick application is an application that runs based on the quick application framework integrated in the operating system and does not require manual installation.

The application startup module 1103 is configured to start and run the target quick application, and display the user interface of the target quick application.

In an exemplary embodiment, the application startup module 1103 is configured to start and run the target quick application based on the application file through the quick application framework if the application file of the target quick application has been stored in the quick application framework. The target quick application; or, if the application file of the target quick application is not stored in the quick application framework, the application file is downloaded from the quick application warehouse through the quick application framework, and the application file is downloaded from the quick application warehouse based on the quick application framework. The application file starts to run the target quick application.

In an exemplary embodiment, the voice control instruction includes the voice data.

The application determination module 1102 is configured to send a speech recognition request to a server, where the speech recognition request includes the speech data; receive a recognition result corresponding to the speech data sent by the server; and determine based on the recognition result. Start and run the target quick application.

In an exemplary embodiment, the voice control instruction includes a recognition result corresponding to the voice data.

The application determining module 1102 is configured to determine to start running the target quick application according to the identification result.

In an exemplary embodiment, the target quick application includes a first quick application and a second quick application that have an associated relationship.

As shown in Figure 12, the device 1100 also includes: an interface display module 1104.

The interface display module 1104 is configured to display the user interface of the first quick application and the user interface of the second quick application in split screens.

To sum up, in the technical solution provided by the embodiments of the present disclosure, a voice control instruction is generated based on the voice data collected by the first device, and the first device sends the voice control instruction to the second device. When the second device controls the When the instruction determines to start running the target quick app, start running the target quick app and display the user interface of the target quick app. Since a quick app is an application that runs based on the quick app framework in the operating system and does not require manual installation, the quick app can be quickly started and run on the second device and the functions provided by the quick app can be obtained, thus improving the startup and running of the application. s efficiency.

In addition, remote control through voice can be used to start and run quick applications on a certain device, without the need for manual operation by the user, achieving a "hands-free" operating experience.

Figure 13 is a block diagram of an application running device according to another exemplary embodiment. The device has the function of implementing the above-mentioned application running method on the first device side. The function may be implemented by hardware, or may be implemented by hardware executing corresponding software. The device may be the first device and also be provided in the first device. The device 1300 may include: a data collection module 1301, an instruction generation module 1302, and an instruction sending module 1303.

The data collection module 1301 is configured to collect voice data.

The instruction generation module 1302 is configured to generate voice control instructions based on the voice data.

The instruction sending module 1303 is configured to send the voice control instruction to a second device, and the second device is configured to start running the target quick application when it is determined to start running the target quick application according to the voice control instruction, and Display the user interface of the target quick application; wherein the quick application is an application that runs based on a quick application framework integrated in the operating system and does not require manual installation.

In an exemplary embodiment, as shown in Figure 14, the device 1300 further includes: a device acquisition module 1304 and a device selection module 1305.

The device acquisition module 1304 is configured to acquire at least one candidate device, where the candidate device refers to a device that supports running the quick application.

The device selection module 1305 is configured to select the closest candidate device from the at least one candidate device as the second device.

In an exemplary embodiment, as shown in Figure 14, the device 1300 further includes: an interface display module 1306, an instruction acquisition module 1307, and a device determination module 1308.

The device acquisition module 1304 is also configured to acquire at least one candidate device, where the candidate device refers to a device that supports running the quick application.

The interface display module 1306 is configured to display a device selection interface, where the device selection interface includes the at least one candidate device.

The instruction acquisition module 1307 is configured to obtain a selection instruction corresponding to the target candidate device among the at least one candidate device.

The device determination module 1308 is configured to determine the target candidate device as the second device.

In an exemplary embodiment, the instruction generation module 1302 is configured to send a voice recognition request to a server, where the voice recognition request includes the voice data; and receive a recognition result corresponding to the voice data sent by the server. ; Generate the voice control instruction, which includes the recognition result.

To sum up, in the technical solution provided by the embodiments of the present disclosure, a voice control instruction is generated based on the voice data collected by the first device, and the first device sends the voice control instruction to the second device. When the second device controls the When the instruction determines to start running the target quick app, start running the target quick app and display the user interface of the target quick app. Since a quick app is an application that runs based on the quick app framework in the operating system and does not require manual installation, the quick app can be quickly started and run on the second device and the functions provided by the quick app can be obtained, thus improving the startup and running of the application. s efficiency.

In addition, remote control through voice can be used to start and run quick applications on a certain device, without the need for manual operation by the user, achieving a "hands-free" operating experience.

An exemplary embodiment of the present disclosure also provides an application running device, which can implement the application running method provided by the present disclosure. The device includes a processor, and a memory for storing executable instructions of the processor. Where, the processor is configured as:

Receive a voice control instruction sent by the first device, where the voice control instruction is a control instruction generated based on the voice data;

Determine to start and run the target quick application according to the voice control instruction. The quick application is an application that runs based on the quick application framework integrated in the operating system and does not require manual installation;

Start and run the target quick application, and display the user interface of the target quick application.

In some possible designs, the processor is further configured to:

If the application file of the target quick application has been stored in the quick application framework, start and run the target quick application based on the application file through the quick application framework;

or,

If the application file of the target quick application is not stored in the quick application framework, the application file is downloaded from the quick application warehouse through the quick application framework, and the application file is started to run based on the application file through the quick application framework. The above goals are quickly applied.

In some possible designs, the voice control instruction includes the voice data.

The processor is also configured to:

Send a voice recognition request to the server, where the voice recognition request includes the voice data;

Receive the recognition result corresponding to the voice data sent by the server;

It is determined to start running the target quick application according to the identification result.

In some possible designs, the voice control instruction includes the recognition result corresponding to the voice data.

The processor is also configured to:

It is determined to start running the target quick application according to the identification result.

In some possible designs, the target quick application includes a first quick application and a second quick application that have an associated relationship.

The user interface for displaying the target quick application includes:

The user interface of the first quick application and the user interface of the second quick application are displayed in split screens.

Another exemplary embodiment of the present disclosure also provides an application running device, which can implement the application running method provided by the present disclosure. The device includes a processor, and a memory for storing executable instructions of the processor. Where, the processor is configured as:

Collect voice data;

Generate voice control instructions based on the voice data;

Send the voice control instruction to a second device, and the second device is configured to start running the target quick application when it is determined to start running the target quick application according to the voice control instruction, and display the user of the target quick application. interface;

Wherein, the quick application is an application that runs based on a quick application framework integrated in the operating system and does not require manual installation.

In some possible designs, the processor is further configured to:

Obtain at least one candidate device, where the candidate device refers to a device that supports running the quick application;

Select the closest candidate device from the at least one candidate device as the second device.

In some possible designs, the processor is further configured to:

Obtain at least one candidate device, where the candidate device refers to a device that supports running the quick application;

Display a device selection interface, the device selection interface including the at least one candidate device;

Obtaining a selection instruction corresponding to a target candidate device among the at least one candidate device;

The target candidate device is determined as the second device. In some possible designs, the voice control instruction includes the recognition result corresponding to the voice data.

In some possible designs, the processor is further configured to:

Send a voice recognition request to the server, where the voice recognition request includes the voice data;

Receive the recognition result corresponding to the voice data sent by the server;

The voice control instruction is generated, and the voice control instruction includes the recognition result.

Figure 15 is a block diagram of an apparatus 1500 according to an exemplary embodiment. For example, the device 1500 may be a portable electronic device such as a mobile phone, a speaker, a television, a tablet computer, a game console, an e-book reader, a multimedia playback device, a wearable device, or the like.

Referring to Figure 15, the device 1500 may include one or more of the following components: a processing component 1502, a memory 1504, a power supply component 1506, a multimedia component 1508, an audio component 1510, an input/output (I/O, Input/Output) interface 1512, and a sensor. component 1514, and communications component 1516.

Processing component 1502 generally controls the overall operations of device 1500, such as operations associated with display, phone calls, data communications, camera operations, and recording operations. The processing component 1502 may include one or more processors 1520 to execute instructions to complete all or part of the steps of the above method. Additionally, processing component 1502 may include one or more modules that facilitate interaction between processing component 1502 and other components. For example, processing component 1502 may include a multimedia module to facilitate interaction between multimedia component 1508 and processing component 1502.

Memory 1504 is configured to store various types of data to support operations at device 1500 . Examples of such data include instructions for any application or method operating on device 1500, contact data, phonebook data, messages, pictures, videos, etc. Memory 1504 may be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as Static Random-Access Memory (SRAM), Electrically Erasable Programmable Read-Only Memory (EEPROM) , Electrically Erasable Programmable Read Only Memory), Erasable Programmable Read Only Memory (EPROM, Erasable Programmable Read Only Memory), Programmable Read Only Memory (PROM, Programmable Read-only Memory), Read Only Memory (ROM, Read Only Memory), magnetic memory, flash memory, magnetic disk or optical disk.

Power supply component 1506 provides power to various components of device 1500. Power supply components 1506 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power to device 1500 .

Multimedia component 1508 includes a screen that provides an output interface between the device 1500 and the user. In some embodiments, the screen may include a Liquid Crystal Display (LCD) and a TouchPad (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive input signals from the user. The touch panel includes one or more touch sensors to sense touches, swipes, and gestures on the touch panel. The touch sensor may not only sense the boundary of a touch or slide action, but also detect the duration and pressure associated with the touch or slide action. In some embodiments, multimedia component 1508 includes a front-facing camera and/or a rear-facing camera. When the device 1500 is in an operating mode, such as a shooting mode or a video mode, the front camera and/or the rear camera may receive external multimedia data. Each front-facing camera and rear-facing camera can be a fixed optical lens system or have a focal length and optical zoom capabilities.

Audio component 1510 is configured to output and/or input audio signals. For example, the audio component 1510 includes a microphone (MIC, Microphone) configured to receive external audio signals when the device 1500 is in an operating mode, such as a call mode, a recording mode, and a voice recognition mode. The received audio signals may be further stored in memory 1504 or sent via communications component 1516 . In some embodiments, audio component 1510 also includes a speaker for outputting audio signals.

The I/O interface 1512 provides an interface between the processing component 1502 and a peripheral interface module. The peripheral interface module may be a keyboard, a click wheel, a button, etc. These buttons may include, but are not limited to: Home button, Volume buttons, Start button, and Lock button.

Sensor component 1514 includes one or more sensors for providing various aspects of status assessment for device 1500 . For example, the sensor component 1514 can detect the open/closed state of the device 1500, the relative positioning of components, such as the display and keypad of the device 1500, and the sensor component 1514 can also detect a change in position of the device 1500 or a component of the device 1500. , the presence or absence of user contact with device 1500 , device 1500 orientation or acceleration/deceleration and temperature changes of device 1500 . Sensor component 1514 may include a proximity sensor configured to detect the presence of nearby objects without any physical contact. Sensor assembly 1514 may also include a light sensor, such as a Complementary Metal Oxide Semiconductor (CMOS) or Charge Coupled Device (CCD) image sensor, for use in imaging applications. In some embodiments, the sensor component 1514 may also include an acceleration sensor, a gyroscope sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.

Communications component 1516 is configured to facilitate wired or wireless communications between device 1500 and other devices. Device 1500 may access a wireless network based on a communication standard, such as Wi-Fi, 2G, 3G, 4G, 5G, or a combination thereof. In one exemplary embodiment, the communication component 1516 receives broadcast signals or broadcast related information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communication component 1516 also includes a near field communication (NFC) module to facilitate short-range communication.

In an exemplary embodiment, the device 1500 may be configured by one or more Application Specific Integrated Circuits (ASICs), Digital Signal Processors (DSPs), Demand-SidePlatforms (DSPs), Digital Signal Processing Devices (DSPDs). Side Platform), programmable logic device (PLD, Programmable Logic Device), field programmable gate array (FPGA, Field Programmable GateArray), controller, microcontroller, microprocessor or other electronic component implementation, used to execute the above application operations method.

In an exemplary embodiment, a non-transitory computer-readable storage medium including a computer program is also provided, such as a memory 1504 including a computer program. The above computer program can be executed by the processor 1520 of the device 1500 to complete the above application running method. . For example, the non-transitory computer-readable storage medium may be ROM, RAM, Compact Disc Read-Only Memory (CD-ROM, Compact Disc Read-Only Memory), magnetic tape, floppy disk, optical data storage device, etc.

It should be understood that "plurality" mentioned in this article means two or more. "And/or" describes the relationship between related objects, indicating that there can be three relationships. For example, A and/or B can mean: A exists alone, A and B exist simultaneously, and B exists alone. The character "/" generally indicates that the related objects are in an "or" relationship.

Other embodiments of the disclosure will be readily apparent to those skilled in the art from consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of the disclosure that follow the general principles of the disclosure and include common knowledge or customary technical means in the technical field that are not disclosed in the disclosure. . It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.

It is to be understood that the present disclosure is not limited to the precise structures described above and illustrated in the accompanying drawings, and various modifications and changes may be made without departing from the scope thereof. The scope of the disclosure is limited only by the appended claims.

Claims (15)

1. An application running method, characterized in that the method comprises:

receiving a voice control instruction sent by first equipment, wherein the voice control instruction is a control instruction generated based on voice data, the voice control instruction comprises the voice data, and the first equipment is equipment with a voice acquisition function;

sending a voice recognition request to a server, wherein the voice recognition request comprises the voice data; receiving a recognition result corresponding to the voice data sent by the server; determining to start a target quick application according to the identification result, wherein the quick application is an application which is operated based on a quick application framework integrated in an operating system and does not need to be manually installed;

and if the application file of the target fast application is not stored in the fast application framework, downloading the application file from a fast application warehouse through the fast application framework, starting and running the target fast application based on the application file through the fast application framework, and displaying a user interface of the target fast application.

2. The method according to claim 1, wherein the method further comprises:

and if the application file of the target fast application is stored in the fast application framework, starting and running the target fast application based on the application file through the fast application framework, and displaying a user interface of the target fast application.

3. The method of claim 1, wherein the target quick application comprises a first quick application and a second quick application having an association relationship;

the user interface for displaying the target quick application comprises:

and the user interface of the first fast application and the user interface of the second fast application are displayed in a split screen mode.

4. An application running method, characterized in that the method comprises:

collecting voice data;

generating a voice control instruction based on the voice data, wherein the voice control instruction comprises the voice data;

the voice control instruction is sent to second equipment, and the second equipment is used for sending a voice recognition request to a server, wherein the voice recognition request comprises the voice data; receiving a recognition result corresponding to the voice data sent by the server; when determining to start and run a target quick application according to the identification result, if an application file of the target quick application is not stored in the quick application framework, downloading the application file from a quick application warehouse through the quick application framework, starting and running the target quick application based on the application file through the quick application framework, and displaying a user interface of the target quick application;

Wherein the fast application is an application that runs based on a fast application framework integrated in an operating system and that does not require manual installation.

5. The method according to claim 4, wherein the method further comprises:

acquiring at least one candidate device, wherein the candidate device is a device supporting the running of the fast application;

and selecting a candidate device closest to the at least one candidate device as the second device.

6. The method according to claim 4, wherein the method further comprises:

acquiring at least one candidate device, wherein the candidate device is a device supporting the running of the fast application;

displaying a device selection interface, wherein the device selection interface comprises at least one candidate device;

acquiring a selection instruction corresponding to a target candidate device in the at least one candidate device;

and determining the target candidate device as the second device.

7. An application running apparatus, the apparatus comprising:

the device comprises an instruction receiving module, a first device and a second device, wherein the instruction receiving module is configured to receive a voice control instruction sent by the first device, the voice control instruction is a control instruction generated based on voice data, the voice control instruction comprises the voice data, and the first device is a device with a voice acquisition function;

An application determining module configured to send a voice recognition request to a server, the voice recognition request including the voice data; receiving a recognition result corresponding to the voice data sent by the server; determining to start a target quick application according to the identification result, wherein the quick application is an application which is operated based on a quick application framework integrated in an operating system and does not need to be manually installed;

and the application starting module is configured to download the application file from a fast application warehouse through the fast application framework if the application file of the target fast application is not stored in the fast application framework, start and run the target fast application based on the application file through the fast application framework, and display a user interface of the target fast application.

8. The apparatus of claim 7, wherein the application launch module is configured to:

and when the application file of the target fast application is stored in the fast application framework, starting and running the target fast application based on the application file through the fast application framework, and displaying a user interface of the target fast application.

9. The apparatus of claim 7, wherein the target quick application comprises a first quick application and a second quick application having an association relationship;

The apparatus further comprises:

and the interface display module is configured to split-screen display the user interface of the first fast application and the user interface of the second fast application.

10. An application running apparatus, the apparatus comprising:

the data acquisition module is configured to acquire voice data;

an instruction generation module configured to generate a voice control instruction based on the voice data, the voice control instruction including the voice data;

an instruction sending module configured to send the voice control instruction to a second device, where the second device is configured to send a voice recognition request to a server, and the voice recognition request includes the voice data; receiving a recognition result corresponding to the voice data sent by the server; when determining to start and run a target quick application according to the identification result, if an application file of the target quick application is not stored in the quick application framework, downloading the application file from a quick application warehouse through the quick application framework, starting and running the target quick application based on the application file through the quick application framework, and displaying a user interface of the target quick application; wherein the fast application is an application that runs based on a fast application framework integrated in an operating system and that does not require manual installation.

11. The apparatus of claim 10, wherein the apparatus further comprises:

a device acquisition module configured to acquire at least one candidate device, the candidate device being a device supporting the execution of the fast application;

and a device selection module configured to select a candidate device closest to the at least one candidate device as the second device.

12. The apparatus of claim 10, wherein the apparatus further comprises:

a device acquisition module configured to acquire at least one candidate device, the candidate device being a device supporting the execution of the fast application;

an interface display module configured to display a device selection interface including the at least one candidate device therein;

an instruction acquisition module configured to acquire a selection instruction corresponding to a target candidate device of the at least one candidate device;

a device determination module configured to determine the target candidate device as the second device.

13. An application running apparatus, the apparatus comprising:

a processor;

a memory for storing executable instructions of the processor;

Wherein the processor is configured to:

receiving a voice control instruction sent by first equipment, wherein the voice control instruction is a control instruction generated based on voice data, the voice control instruction comprises the voice data, and the first equipment is equipment with a voice acquisition function;

sending a voice recognition request to a server, wherein the voice recognition request comprises the voice data; receiving a recognition result corresponding to the voice data sent by the server; determining to start a target quick application according to the identification result, wherein the quick application is an application which is operated based on a quick application framework integrated in an operating system and does not need to be manually installed;

and if the application file of the target fast application is not stored in the fast application framework, downloading the application file from a fast application warehouse through the fast application framework, starting and running the target fast application based on the application file through the fast application framework, and displaying a user interface of the target fast application.

14. An application running apparatus, the apparatus comprising:

a processor;

a memory for storing executable instructions of the processor;

Wherein the processor is configured to:

collecting voice data;

generating a voice control instruction based on the voice data, wherein the voice control instruction comprises the voice data;

the voice control instruction is sent to second equipment, and the second equipment is used for sending a voice recognition request to a server, wherein the voice recognition request comprises the voice data; receiving a recognition result corresponding to the voice data sent by the server; when determining to start and run a target quick application according to the identification result, if an application file of the target quick application is not stored in the quick application framework, downloading the application file from a quick application warehouse through the quick application framework, starting and running the target quick application based on the application file through the quick application framework, and displaying a user interface of the target quick application;

wherein the fast application is an application that runs based on a fast application framework integrated in an operating system and that does not require manual installation.

15. A non-transitory computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method according to any one of claims 1 to 3 or the steps of the method according to any one of claims 4 to 6.