CN115985323B - Voice wakeup method and device, electronic equipment and readable storage medium - Google Patents

Abstract

The application discloses a voice awakening method, a device, electronic equipment and a readable storage medium, wherein the voice awakening method comprises the following steps: collecting sample signals within a preset time period; counting signal values corresponding to each frame of sample frames in the sample signals; calculating a background signal value corresponding to the sample signal based on the counted signal value; and when a voice wake-up operation triggered by the target equipment is detected, waking up the target equipment according to the background signal value. The voice awakening scheme does not need to consume a large amount of calculation power of equipment to carry out long-time standby awakening, and avoids the condition that equipment generates heat to reduce the service life of the equipment.

Description

Voice wake-up method, device, electronic equipment and readable storage medium

technical field

The present application relates to the communication field, in particular to a voice wake-up method, device, electronic equipment and readable storage medium.

Background technique

With the advent of the era of mobile Internet and artificial intelligence, voice interaction has achieved unprecedented growth in recent years. Among them, voice wake-up technology, as a special voice recognition technology, has become an important part of the interaction between users and machines. The goal of the voice wake-up system is to wake up the device without manual operation.

In the current voice wake-up scheme, the inertial filter or the scheme based on the neural network model is usually used for voice wake-up. However, under the above two schemes, a large amount of computing power is required to wake up the device for a long time, which will cause the device to heat up. Thereby reducing the life of the equipment.

Contents of the invention

In view of the above technical problems, the present application provides a voice wake-up method, device, electronic equipment and readable storage medium, which does not need to consume a large amount of computing power of the equipment for long-term standby wake-up, and avoids the situation that the equipment heats up and reduces the life of the equipment.

In order to solve the above technical problems, the present application provides a voice wake-up method, including:

Collect sample signals within a preset duration;

Counting the signal values corresponding to each sample frame in the sample signal;

calculating a background signal value corresponding to the sample signal based on the statistical signal value;

When a voice wakeup operation triggered for the target device is detected, the target device is woken up according to the background signal value.

Optionally, in some embodiments of the present application, the calculation of the background signal value corresponding to the sample signal based on the statistical signal value includes:

Obtain the historical signal value in the historical time;

A background signal value corresponding to the sample signal is calculated according to fluctuations between the historical signal value and the statistical signal value.

Optionally, in some embodiments of the present application, the calculation of the background signal value corresponding to the sample signal according to the fluctuation between the historical signal value and the statistical signal value includes:

Determining the initial signal value among the statistical signal values;

calculating a difference between said initial signal value and said historical signal value;

adjusting the historical signal value according to the difference to obtain an adjusted signal value;

According to the fluctuation among other signal values except the initial signal value, the adjusted signal value is adjusted to obtain the background signal value corresponding to the sample signal.

Optionally, in some embodiments of the present application, the adjusting the historical signal value according to the difference to obtain the adjusted signal value includes:

When it is detected that the difference is greater than a threshold, calculating the sum of the historical signal value and the preset value to obtain an adjusted signal value;

When it is detected that the difference is smaller than the threshold, the difference between the historical signal value and the preset value is calculated to obtain an adjusted signal value.

Optionally, in some embodiments of the present application, when the voice wakeup operation triggered for the target device is detected, waking up the target device according to the background signal value includes:

When detecting a voice wake-up operation triggered for the target device, acquiring an operation signal value corresponding to the voice wake-up operation;

detecting whether the value of the operation signal is greater than the value of the background signal;

When it is detected that the value of the operation signal is greater than the value of the background signal, wake up the target device.

Optionally, in some embodiments of the present application, it also includes:

periodically updating the background signal value to obtain the updated background signal value;

The step of waking up the target device according to the background signal value when detecting the voice wakeup operation triggered for the target device includes: waking up the target device according to the updated background signal value when detecting the voice wakeup operation triggered for the target device target device.

Correspondingly, the present application also provides a voice wake-up device, including:

an acquisition module, configured to acquire sample signals within a preset duration;

A statistical module, configured to count signal values corresponding to each sample frame in the sample signal;

A calculation module, configured to calculate the background signal value corresponding to the sample signal based on the statistical signal value;

A wake-up module, configured to wake up the target device according to the background signal value when a voice wake-up operation triggered for the target device is detected.

Optionally, in some embodiments of the present application, the calculation module includes:

The acquisition unit is used to acquire the historical signal value within the historical time;

The calculation unit is configured to calculate the background signal value corresponding to the sample signal according to the fluctuation between the historical signal value and the statistical signal value.

The present application also provides an electronic device, including a memory and a processor, the memory stores a computer program, and the processor implements the steps of the above method when executing the computer program.

The present application also provides a computer storage medium, where the computer storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the above method are realized.

As mentioned above, the present application provides a voice wake-up method, device, electronic equipment, and readable storage medium. The voice wake-up method includes: collecting sample signals within a preset duration; signal value; calculate the background signal value corresponding to the sample signal based on the statistical signal value; wake up the target device according to the background signal value when a voice wake-up operation triggered for the target device is detected. In the voice wake-up solution provided by this application, the signal value corresponding to each sample frame in the sample signal is used to calculate the background signal value corresponding to the sample signal, and the calculated background signal value is used to wake up the target device without passing through an inertial filter or The neural network model-based solution for voice wake-up does not need to consume a large amount of computing power of the device for long-term standby wake-up, and avoids the situation where the device heats up and reduces the life of the device.

Description of drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the application and together with the description serve to explain the principles of the application. In order to more clearly illustrate the technical solutions of the embodiments of the present application, the accompanying drawings that need to be used in the description of the embodiments will be briefly introduced below. Obviously, for those of ordinary skill in the art, the Under the premise, other drawings can also be obtained based on these drawings.

FIG. 1 is a schematic structural diagram of a voice wake-up system provided by an embodiment of the present application;

Fig. 2 is a schematic flow chart of the voice wake-up method provided by the embodiment of the present application;

FIG. 3 is a schematic structural diagram of a voice wake-up device provided by an embodiment of the present application;

Fig. 4 is another structural schematic diagram of the voice wake-up device provided by the embodiment of the present application;

FIG. 5 is a schematic structural diagram of a smart terminal provided by an embodiment of the present application.

The realization, functional features and advantages of the present application will be further described in conjunction with the embodiments and with reference to the accompanying drawings. By means of the above drawings, specific embodiments of the present application have been shown, which will be described in more detail hereinafter. These drawings and text descriptions are not intended to limit the scope of the concept of the application in any way, but to illustrate the concept of the application for those skilled in the art by referring to specific embodiments.

Detailed ways

Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numerals 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 this application. Rather, they are merely examples of apparatuses and methods consistent with aspects of the present application as recited in the appended claims.

It should be noted that, in this document, the term "comprising", "comprising" or any other variation thereof is intended to cover a non-exclusive inclusion such that a process, method, article or apparatus comprising a set of elements includes not only those elements, It also includes other elements not expressly listed, or elements inherent in the process, method, article, or device. Without further limitations, an element defined by the statement "comprising a..." does not exclude the presence of other identical elements in the process, method, article, or device that includes the element. In addition, different implementations of the present application Components, features, and elements with the same name in the example may have the same meaning, or may have different meanings, and the specific meaning shall be determined based on the explanation in the specific embodiment or further combined with the context in the specific embodiment.

It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.

In the following description, the use of suffixes such as 'module', 'part' or 'unit' for denoting elements is only for facilitating the description of the present application and has no specific meaning by itself. Therefore, 'module', 'part' or 'unit' may be mixedly used.

The embodiments involved in the present application will be described in detail below. It should be noted that the description order of the embodiments in the present application is not used as a limitation on the priority order of the embodiments.

Embodiments of the present application provide a voice wake-up method, device, storage medium, and electronic equipment. Specifically, the voice wake-up method in the embodiment of the present application may be performed by an electronic device, where the electronic device may be a terminal. The electronic device can be a smart phone, a tablet computer, a notebook computer, a touch screen, a game console, a personal computer (PC, Personal Computer), a personal digital assistant (Personal Digital Assistant, PDA) and other electronic devices, and the electronic device can also include a client , the client can be a voice wake-up client or other clients. Electronic devices can be connected to the server through wired or wireless methods. The server can be an independent physical server, or a server cluster or distributed system composed of multiple physical servers. It can also provide cloud services, cloud databases, cloud computing, Cloud servers for basic cloud computing services such as cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, CDN, and big data and artificial intelligence platforms.

For example, when the voice wake-up method is run on an electronic device, after the electronic device collects a sample signal within a preset time period, the electronic device counts the signal value corresponding to each sample frame in the sample signal, and then electronically calculates the sample signal based on the statistical signal value. The background signal value corresponding to the signal. When the electronic device detects the voice wake-up operation triggered for the target device, it wakes up the target device according to the background signal value.

Please refer to FIG. 1 . FIG. 1 is a system diagram of a voice wake-up device provided by an embodiment of the present application. The system may include at least one electronic device 1000 , at least one server or personal computer 2000 . The electronic device 1000 held by the user can be connected to various servers or personal computers through a network. The electronic device 1000 may be an electronic device having computing hardware capable of supporting and executing software products corresponding to multimedia. In addition, the electronic device 1000 may also have one or more multi-touch sensitive screens for sensing and obtaining user input through touch or slide operations performed at multiple points of one or more touch display screens. In addition, the electronic device 1000 may be connected to a server or a personal computer 2000 through a network. The network may be a wireless network or a wired network. For example, the wireless network may be a wireless local area network (WLAN), a local area network (LAN), a cellular network, a 2G network, a 3G network, a 4G network, or a 5G network. In addition, different electronic devices 1000 can also use their own Bluetooth network or hotspot network to connect to other embedded platforms or connect to servers and personal computers. The server can be an independent physical server, or a server cluster or distributed system composed of multiple physical servers, or it can provide cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communication, intermediate Cloud servers for basic cloud computing services such as software services, domain name services, security services, CDN, and big data and artificial intelligence platforms.

An embodiment of the present application provides a voice wake-up method, which can be executed by an electronic device. Wherein, the electronic device includes a touch display screen and a processor, and the touch display screen is used for presenting a graphical user interface and receiving operation instructions generated by a user acting on the graphical user interface. When the user operates the graphical user interface through the touch screen, the graphical user interface can control the local content of the electronic device in response to the received operation instruction, and can also control the server-side content in response to the received operation instruction. For example, the operation instructions generated by the user acting on the graphical user interface include instructions for processing initial audio data, and the processor is configured to start a corresponding application program after receiving the instructions provided by the user. Additionally, the processor is configured to render and draw a graphical user interface associated with the application on the touch display. A touch display is a multi-touch sensitive screen capable of sensing simultaneous touch or swipe operations performed at multiple points on the screen. The user uses a finger to perform a touch operation on the GUI, and when the GUI detects the touch operation, it controls the display of the corresponding operation in the GUI of the application.

The voice wake-up solution provided by this application uses the signal value corresponding to each sample frame in the sample signal to calculate the background signal value corresponding to the sample signal, and uses the calculated background signal value to wake up the target device, without using inertial filters or neural-based The network model solution for voice wake-up does not need to consume a large amount of computing power of the device for long-term standby wake-up, and avoids the situation where the device heats up and reduces the life of the device.

Each will be described in detail below. It should be noted that the order of description of the following embodiments is not intended to limit the order of priority of the embodiments.

A voice wake-up method, comprising: collecting a sample signal within a preset duration; counting the signal value corresponding to each sample frame in the sample signal; calculating the background signal value corresponding to the sample signal based on the statistical signal value; Triggered voice wakeup operation to wake up the target device based on the background signal value.

Please refer to FIG. 2 . FIG. 2 is a schematic flowchart of a voice wake-up method provided by an embodiment of the present application. The concrete process of this voice wake-up method can be as follows:

101. Collect sample signals within a preset time period.

Wherein, the sample signal is an audio signal collected within a preset time period, and the sample signal may include a human voice signal, an environmental sound signal, and other types of sound signals, and the sound signal may be embedded in a sound sensor (such as a microphone) of an electronic device for processing. For collection, the preset duration can be 10 minutes, 20 minutes or 100 minutes, or 50 seconds, 120 seconds or 300 seconds, which can be set according to the actual situation and will not be repeated here.

102. Count the signal values corresponding to each sample frame in the sample signal.

For example, specifically, the sample signal can be divided into frames to obtain multiple sample frames corresponding to the sample signal. It is unstable, microscopically stable, and has short-term stability (the voice signal can be considered approximately unchanged within 10-30ms). In order to facilitate subsequent voice wake-up, the long-term sample signal can be divided into some Each short segment is a sample frame of the present application. In this frame, the characteristics of the speech signal are considered to be stable, and the principle of framing is that it must be short enough to ensure that the signal in the frame is stable. Steadily, the length of a frame should be less than the length of a phoneme, and the duration of a phoneme at a normal speech rate is about 50ms. In addition, to perform Fourier analysis, this frame must contain enough vibration cycles. Considering that male voices are around 100 Hz and female voices are around 200 Hz, the converted cycles are 10 ms and 5 ms, that is, the sample frame length of each frame Between 10ms~40ms, the length of each sample frame can be selected according to the actual situation.

Furthermore, discrete Fourier transform (also called short-time discrete Fourier transform) can be applied to a frame of signal to obtain the distribution information about frequency-energy of the signal in this frame, and the The images are spliced together, and the horizontal axis is the frequency, and the vertical axis is the amplitude, so that the spectrogram of the sample signal can be obtained. In this application, the amplitude is determined as the signal value corresponding to the sample frame.

103. Calculate a background signal value corresponding to the sample signal based on the statistical signal value.

For example, specifically, a reference value can be obtained, the fluctuation between the statistical signal values can be determined, and based on the difference between the fluctuation and the reference value, the background signal value corresponding to the sample signal can be calculated, that is, optionally, in some In the embodiment, the step "calculate the background signal value corresponding to the sample signal based on the statistical signal value" may specifically include:

(11) Obtain the historical signal value within the historical time;

(12) Calculate the background signal value corresponding to the sample signal according to the fluctuation between the historical signal value and the statistical signal value.

For example, the initial signal value can be determined from the statistical signal values, such as determining the signal value of the first frame of the sample signal as the initial signal value, and then calculating the difference between the initial signal value and the historical signal value value, and based on the fluctuation between the difference and the statistical signal value, calculate the background signal value corresponding to the sample signal, that is, optionally, in some embodiments, the step "according to the historical signal value and the statistical signal value Between the fluctuations, calculate the background signal value corresponding to the sample signal", which can specifically include:

(21) Determine the initial signal value among the statistical signal values;

(22) Calculate the difference between the initial signal value and the historical signal value;

(23) Adjust the historical signal value according to the difference to obtain the adjusted signal value;

(24) According to the fluctuation among other signal values except the initial signal value, the adjusted signal value is adjusted to obtain the background signal value corresponding to the sample signal.

For example, specifically, after determining the signal value of the first sample frame of the sample signal as the initial signal, the historical signal value is obtained, and the historical signal value may be the average value corresponding to the signal values collected within the historical time period, and the historical signal value The signal value can be used as ambient background noise. Further, the difference between the initial signal value and the historical signal value is calculated, and the historical signal value is adjusted based on the difference. Then, the signal corresponding to the next frame signal of the initial signal value is calculated value and the adjusted historical signal value, and based on the difference, the adjusted historical signal value is further adjusted until all sample frames in the sample signal have been processed, and finally, the average value of all adjusted historical signal values is calculated , to get the background signal value corresponding to the sample signal.

It should be noted that this application uses an adder and subtracter to adjust the historical signal value, that is, if it is greater than the set value +1, it is equal to the set value without adjustment, and if it is less than the set value -1, the historical signal value is adjusted. That is, optionally, in some embodiments, the step of "adjusting the historical signal value according to the difference to obtain the adjusted signal value" may specifically include:

(31) When it is detected that the difference is greater than the threshold, calculate the sum of the historical signal value and the preset value to obtain the adjusted signal value;

(32) When it is detected that the difference is smaller than the threshold, calculate the difference between the historical signal value and the preset value to obtain the adjusted signal value.

104. When a voice wakeup operation triggered for the target device is detected, wake up the target device according to the background signal value.

For example, specifically, when the voice wake-up operation triggered for the target device is detected, the operation signal value corresponding to the voice wake-up operation is obtained, and the target device is triggered to perform a wake-up mode by comparing the value of the operation signal value with the background signal value, that is, Optionally, in some embodiments, the step "waking up the target device according to the background signal value when detecting a voice wakeup operation triggered for the target device" may specifically include:

(41) When the voice wake-up operation triggered for the target device is detected, obtain the operation signal value corresponding to the voice wake-up operation;

(42) Detect whether the operation signal value is greater than the background signal value;

(43) When it is detected that the operation signal value is greater than the background signal value, wake up the target device.

For example, specifically, when the chip of the target device is powered on, the sound signal is collected, and the average statistics are calculated after a long period of time as the environmental background noise (that is, the historical signal value) of the application scenario. Then, the target device continues to collect Sample the signal, and count the signal value corresponding to each sample frame. Then, the target device calculates the difference between the signal value and the historical signal value, and continuously updates the background signal value. When the voice wake-up operation triggered by the target device is detected, according to the background The signal value wakes up the target device, that is, it can be understood that, in some embodiments, the voice wake-up method of the present application may specifically include periodically updating the background signal value to obtain the updated background signal value, and the step "when it is detected that the target device The voice wake-up operation triggered by the device wakes up the target device according to the background signal value", which may specifically include: when the voice wake-up operation triggered for the target device is detected, wake up the target device according to the updated background signal value.

The voice wake-up process of the present application is completed above.

It can be seen from the above that the present application provides a voice wake-up method, which collects sample signals within a preset time period, then counts the signal value corresponding to each frame of the sample signal in the sample signal, and then calculates the background corresponding to the sample signal based on the statistical signal value Signal value. When the voice wake-up operation triggered for the target device is detected, the target device is woken up according to the background signal value. The voice wake-up scheme provided in this application uses the signal value corresponding to each sample frame in the sample signal to calculate the corresponding value of the sample signal. background signal value, and use the calculated background signal value to wake up the target device. It does not need to use inertial filters or neural network model-based solutions for voice wake-up, and does not need to consume a lot of computing power for long-term standby wake-up, so as to avoid device heating and failure Conditions that reduce equipment life.

In order to better implement the voice wake-up method of the present application, the present application also provides a voice wake-up device based on the above. The meanings of the nouns are the same as those in the above voice wake-up method, and for specific implementation details, please refer to the description in the method embodiments.

Please refer to Fig. 3, Fig. 3 is the structural representation of the voice wake-up device provided by the present application, wherein the voice wake-up device may include a collection module 201, a statistical module 202, a calculation module 203 and a wake-up module 204, specifically as follows:

The collection module 201 is configured to collect sample signals within a preset time period.

Wherein, the sample signal is an audio signal collected within a preset time period, and the sample signal may include a human voice signal, an environmental sound signal, and other types of sound signals, and the sound signal may be embedded in a sound sensor (such as a microphone) of an electronic device for processing. For collection, the preset duration can be 10 minutes, 20 minutes or 100 minutes, or 50 seconds, 120 seconds or 300 seconds, which can be set according to the actual situation and will not be repeated here.

The statistical module 202 is configured to count the signal value corresponding to each sample frame in the sample signal.

The calculation module 203 is configured to calculate the background signal value corresponding to the sample signal based on the statistical signal value.

For example, specifically, a reference value can be obtained, the fluctuation between statistical signal values can be determined, and the background signal value corresponding to the sample signal can be calculated based on the difference between the fluctuation and the reference value, that is, optionally, in some In an embodiment, the computing module 203 may specifically include:

The acquisition unit is used to acquire the historical signal value within the historical time;

The calculation unit is used to calculate the background signal value corresponding to the sample signal according to the fluctuation between the historical signal value and the statistical signal value.

Optionally, in some embodiments, the calculation unit may specifically include:

determining a subunit for determining an initial signal value among the statistical signal values;

Calculation subunit for calculating the difference between the initial signal value and the historical signal value;

The adjustment subunit is used to adjust the historical signal value according to the difference to obtain the adjusted signal value;

The adjustment sub-unit is configured to adjust the adjusted signal value according to the fluctuation among other signal values except the initial signal value, so as to obtain the background signal value corresponding to the sample signal.

Optionally, in some embodiments, the adjustment subunit can be specifically configured to: when it is detected that the difference is greater than a threshold, calculate the sum of the historical signal value and the preset value to obtain the adjusted signal value; when it is detected that the difference is less than When the threshold is set, the difference between the historical signal value and the preset value is calculated to obtain the adjusted signal value.

The wake-up module 204 is configured to wake up the target device according to the background signal value when a voice wake-up operation triggered for the target device is detected.

For example, specifically, when the voice wake-up operation triggered for the target device is detected, the operation signal value corresponding to the voice wake-up operation is obtained, and the target device is triggered to perform the wake-up mode by comparing the value of the operation signal value with the background signal value, optional Yes, in some embodiments, the wake-up module 204 can be specifically configured to: when detecting a voice wake-up operation triggered for the target device, obtain an operation signal value corresponding to the voice wake-up operation; detect whether the operation signal value is greater than the background signal value; when detecting When the operation signal value is greater than the background signal value, wake up the target device.

Optionally, in some embodiments, please refer to FIG. 4 , the voice wake-up device of the present application may specifically include an update module 205, which may specifically be used to: periodically update the value of the background signal to obtain the updated background signal value.

Optionally, in some embodiments, the wake-up module 204 may also be specifically configured to wake up the target device according to the updated background signal value when a voice wake-up operation triggered for the target device is detected.

The voice wake-up process of the present application is completed above.

As can be seen from the above, the present application provides a voice wake-up device. The acquisition module 201 collects sample signals within a preset time period. Then, the statistics module 202 counts the signal value corresponding to each frame of the sample signal in the sample signal. Then, the calculation module 203 calculates based on the statistics The signal value calculates the background signal value corresponding to the sample signal. The wake-up module 204, when detecting a voice wake-up operation triggered for the target device, wakes up the target device according to the background signal value. The voice wake-up solution provided in this application utilizes each The signal value corresponding to the frame sample frame, calculate the background signal value corresponding to the sample signal, and use the calculated background signal value to wake up the target device, without using inertial filters or neural network model-based solutions for voice wake-up, without consuming a lot of equipment Computing power wakes up from long-term standby to avoid the situation where the device is heated and the life of the device is reduced.

Those of ordinary skill in the art can understand that all or part of the steps in the various methods of the above embodiments can be completed by instructions, or by instructions controlling related hardware, and the instructions can be stored in a computer-readable storage medium, and is loaded and executed by the processor.

The embodiment of the present invention also provides an electronic device 500. As shown in FIG. 5, the electronic device 500 can integrate the above-mentioned voice wake-up device, and can further include a radio frequency (RF, Radio Frequency) circuit 501, including one or more computers A memory 502 of a readable storage medium, an input unit 503, a display unit 504, a sensor 505, an audio circuit 506, a wireless fidelity (WiFi, Wireless Fidelity) module 507, a processor 508 including one or more processing cores, and a power supply 509 and other components. Those skilled in the art can understand that the structure of the electronic device 500 shown in FIG. 5 does not constitute a limitation on the electronic device 500, and may include more or less components than those shown in the illustration, or combine certain components, or different components. layout. in:

The RF circuit 501 can be used for sending and receiving information or receiving and sending signals during a call. In particular, after receiving the downlink information of the base station, it is handed over to one or more processors 508 for processing; in addition, the data related to the uplink is sent to the base station . Generally, the RF circuit 501 includes but is not limited to an antenna, at least one amplifier, a tuner, one or more oscillators, a Subscriber Identity Module (SIM, Subscriber Identity Module) card, a transceiver, a coupler, a low noise amplifier (LNA, Low NoiseAmplifier), duplexer, etc. In addition, the RF circuit 501 can also communicate with networks and other devices through wireless communication. Wireless communication can use any communication standard or protocol, including but not limited to Global System of Mobile Communication (GSM, Global System of Mobile communication), General Packet Radio Service (GPRS, General Packet Radio Service), Code Division Multiple Access (CDMA, Code Division Multiple Access) , Wideband Code Division Multiple Access (WCDMA, Wideband CodeDivision Multiple Access), Long Term Evolution (LTE, LongTermEvolution), email, Short Message Service (SMS, ShortMessaging Service), etc.

The memory 502 can be used to store software programs and modules, and the processor 508 executes various functional applications and information processing by running the software programs and modules stored in the memory 502 . The memory 502 can mainly include a program storage area and a data storage area, wherein the program storage area can store an operating system, at least one application program required by a function (such as a sound playback function, a target data playback function, etc.) and the like; the storage data area can store Data created according to the use of the electronic device 500 (such as audio data, phonebook, etc.) and the like. In addition, the memory 502 may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid-state storage devices. Correspondingly, the memory 502 may further include a memory controller to provide access to the memory 502 by the processor 508 and the input unit 503 .

The input unit 503 can be used to receive input numbers or character information, and generate keyboard, mouse, joystick, optical or trackball signal input related to user settings and function control. Specifically, in a specific embodiment, the input unit 503 may include a touch-sensitive surface and other input devices. A touch-sensitive surface, also known as a touch display or trackpad, collects the user's touch on or near it (for example, the user uses a finger, stylus, etc. any suitable object or accessory on the touch-sensitive surface or on the touch-sensitive operation near the surface), and drive the corresponding connection device according to the preset program. Optionally, the touch-sensitive surface may include two parts: a touch detection device and a touch controller. Among them, the touch detection device detects the user's touch orientation, and detects the signal brought by the touch operation, and transmits the signal to the touch controller; the touch controller receives the touch information from the touch detection device, converts it into contact coordinates, and sends it to the to the processor 508, and can receive and execute commands sent by the processor 508. In addition, touch-sensitive surfaces can be implemented in various types such as resistive, capacitive, infrared, and surface acoustic wave. In addition to touch-sensitive surfaces, the input unit 503 may also include other input devices. Specifically, other input devices may include, but are not limited to, one or more of physical keyboards, function keys (such as volume control keys, switch keys, etc.), trackballs, mice, joysticks, and the like.

The display unit 504 can be used to display information input by or provided to the user and various graphical user interfaces of the electronic device 500. These graphical user interfaces can be composed of graphics, text, icons, videos and any combination thereof. The display unit 504 may include a display panel, and optionally, the display panel may be configured in the form of a liquid crystal display (LCD, Liquid Crystal Display), an organic light-emitting diode (OLED, Organic Light-Emitting Diode), and the like. Further, the touch-sensitive surface can cover the display panel. When the touch-sensitive surface detects a touch operation on or near it, it is sent to the processor 508 to determine the type of the touch event, and then the processor 508 displays on the display according to the type of the touch event. The corresponding visual output is provided on the panel. Although in FIG. 5, the touch-sensitive surface and the display panel are used as two independent components to realize the input and input functions, in some embodiments, the touch-sensitive surface and the display panel can be integrated to realize the input and output functions.

The electronic device 500 may also include at least one sensor 505, such as a light sensor, a motion sensor, and other sensors. Specifically, the light sensor may include an ambient light sensor and a proximity sensor, wherein the ambient light sensor may adjust the brightness of the display panel according to the brightness of the ambient light, and the proximity sensor may turn off the display panel and/or when the electronic device 500 moves to the ear. or backlight. As a kind of motion sensor, the gravitational acceleration sensor can detect the magnitude of acceleration in various directions (generally three axes), and can detect the magnitude and direction of gravity when it is stationary, and can be used for applications that recognize the attitude of mobile phones (such as horizontal and vertical screen switching, related Gaming, magnetometer attitude calibration), vibration recognition related functions (such as pedometer, tap), etc.; as for other sensors such as gyroscope, barometer, hygrometer, thermometer, infrared sensor, etc. that can be configured by electronic device 500, here No longer.

The audio circuit 506 , speaker, and microphone can provide an audio interface between the user and the electronic device 500 . The audio circuit 506 can transmit the electrical signal converted from the received audio data to the speaker, and the speaker converts it into a sample signal for output; on the other hand, the microphone converts the collected sample signal into an electrical signal, which is converted by the audio circuit 506 After being processed by the audio data output processor 508, the audio data is sent to another electronic device 500 through the RF circuit 501, or the audio data is output to the memory 502 for further processing. The audio circuit 506 may also include an earphone jack to provide communication of an external earphone with the electronic device 500 .

WiFi is a short-distance wireless transmission technology. The electronic device 500 can help users send and receive emails, browse web pages, and access streaming media through the WiFi module 507, which provides users with wireless broadband Internet access. Although FIG. 5 shows a WiFi module 507, it can be understood that it is not a necessary component of the electronic device 500, and can be completely omitted as required without changing the essence of the invention.

The processor 508 is the control center of the electronic device 500, and uses various interfaces and lines to connect various parts of the entire mobile phone, by running or executing software programs and/or modules stored in the memory 502, and calling data stored in the memory 502 , executing various functions and processing data of the electronic device 500, so as to monitor the mobile phone as a whole. Optionally, the processor 508 may include one or more processing cores; preferably, the processor 508 may integrate an application processor and a modem processor, wherein the application processor mainly processes operating systems, user interfaces, and application programs, etc. , the modem processor mainly handles wireless communications. It can be understood that the foregoing modem processor may not be integrated into the processor 508 .

The electronic device 500 also includes a power supply 509 (such as a battery) for supplying power to various components. Preferably, the power supply can be logically connected to the processor 508 through the power management system, so that functions such as charging, discharging, and power consumption management can be realized through the power management system. . The power supply 509 may also include one or more DC or AC power supplies, recharging systems, power failure detection circuits, power converters or inverters, power data indicators and other arbitrary components.

Although not shown, the electronic device 500 may also include a camera, a Bluetooth module, etc., which will not be repeated here. Specifically, in this embodiment, the processor 508 in the electronic device 500 will load the executable file corresponding to the process of one or more application programs into the memory 502 according to the following instructions, and the processor 508 will run the stored The application program in memory 502, thereby realizing various functions:

Obtain the preset storage capacity of the virtual memory; set the initial phase to a preset value; start the BIST circuit, and based on the set initial phase, perform phase scanning under the control of the BIST circuit; when it is detected that the BIST circuit scans to the end phase, Calculate the best phase.

In the above-mentioned embodiments, the descriptions of each embodiment have their own emphases. For the part that is not described in detail in a certain embodiment, refer to the detailed description of the voice wake-up method above, and will not be repeated here.

It can be seen from the above that the electronic device 500 of the embodiment of the present invention can use the BIST circuit to perform phase scanning, and calculate the optimal phase based on the scanning results, and finally perform voice wake-up according to the optimal phase, which can ensure heavy and fast voice wake-up , and no additional circuitry is required.

Those of ordinary skill in the art can understand that all or part of the steps in the various methods of the above embodiments can be completed by instructions, or by instructions controlling related hardware, and the instructions can be stored in a computer-readable storage medium, and is loaded and executed by the processor.

To this end, an embodiment of the present application further provides a storage medium on which a plurality of instructions are stored, and the instructions are suitable for being loaded by a processor to execute the steps in the above voice wake-up method.

For the specific implementation of the above operations, reference may be made to the foregoing embodiments, and details are not repeated here.

Wherein, the storage medium may include: a read only memory (ROM, Read Only Memory), a random access memory (RAM, Random Access Memory), a magnetic disk or an optical disk, and the like.

Due to the instructions stored in the storage medium, the steps in any voice wake-up method provided by the embodiments of the present invention can be executed, therefore, the functions that can be realized by any voice wake-up method provided by the embodiments of the present invention can be realized. For the beneficial effects, please refer to the previous embodiments for details, and details will not be repeated here.

The voice wake-up method, device, system and storage medium provided by the embodiments of the present invention have been described above in detail. In this paper, specific examples have been used to illustrate the principles and implementation methods of the present invention. The descriptions of the above embodiments are only used to help Understand the method of the present invention and its core idea; at the same time, for those skilled in the art, according to the idea of the present invention, there will be changes in the specific implementation and scope of application. In summary, the content of this specification should not be construed as a limitation of the invention.

Claims (7)

1. A method of waking up speech, comprising:

collecting sample signals within a preset time period;

counting signal values corresponding to each frame of sample frames in the sample signals;

acquiring a historical signal value in historical time;

determining an initial signal value from the counted signal values;

calculating a first difference between the initial signal value and the historical signal value;

adjusting the historical signal value according to the first difference value to obtain an adjusted signal value;

sequentially calculating second difference values between other signal values except the initial signal value and the adjusted signal value, and further adjusting the adjusted signal value based on the second difference values until all sample frames in the sample signal are processed;

calculating the average value of all the adjusted signal values to obtain a background signal value corresponding to the sample signal;

and when a voice wake-up operation triggered by the target equipment is detected, waking up the target equipment according to the background signal value.

2. The method of claim 1, wherein adjusting the historical signal value based on the first difference value results in an adjusted signal value, comprising:

when the first difference value is detected to be larger than a threshold value, calculating the sum of the historical signal value and a preset value to obtain an adjusted signal value;

and when the first difference value is detected to be smaller than a threshold value, calculating the difference between the historical signal value and a preset value to obtain an adjusted signal value.

3. The method according to claim 1 or 2, wherein when a voice wake-up operation triggered for a target device is detected, waking up the target device according to the background signal value comprises:

when voice awakening operation triggered by target equipment is detected, acquiring an operation signal value corresponding to the voice awakening operation;

detecting whether the operation signal value is larger than the background signal value;

and waking up the target device when the operation signal value is detected to be larger than the background signal value.

4. The method according to claim 1 or 2, further comprising:

periodically updating the background signal value to obtain an updated background signal value;

when the voice wake-up operation triggered by the target equipment is detected, waking up the target equipment according to the background signal value, wherein the voice wake-up operation comprises the following steps: and when voice awakening operation triggered by the target equipment is detected, awakening the target equipment according to the updated background signal value.

5. A voice wakeup apparatus, comprising:

the acquisition module is used for acquiring sample signals within a preset time length;

the statistics module is used for counting signal values corresponding to each frame of sample frame in the sample signal;

the calculation module is used for acquiring historical signal values in the historical time and determining initial signal values in the counted signal values; calculating a first difference between the initial signal value and the historical signal value; adjusting the historical signal value according to the first difference value to obtain an adjusted signal value; sequentially calculating second difference values between other signal values except the initial signal value and the adjusted signal value, and further adjusting the adjusted signal value based on the second difference values until all sample frames in the sample signal are processed; calculating the average value of all the adjusted signal values to obtain a background signal value corresponding to the sample signal;

and the wake-up module is used for waking up the target equipment according to the background signal value when the voice wake-up operation triggered by the target equipment is detected.

6. An electronic device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the voice wake-up method of any of claims 1 to 4 when the computer program is executed.

7. A readable storage medium, characterized in that it has stored thereon a computer program which, when executed by a processor, implements the steps of the voice wake-up method according to any of claims 1 to 4.

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