CN109741743A - A kind of control method and device of equipment, non-volatile memory medium - Google Patents
A kind of control method and device of equipment, non-volatile memory medium Download PDFInfo
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Abstract
The application provides a kind of control method of equipment.The control method includes: that voice messaging is sent to every other service node in block chain network by origination node, so that other each service nodes carry out analysis identification to identification mission according to the private data library of itself;And origination node receives identification and the matching result of each other service nodes feedback, the identification for counting every other service node feedback and matching result are to obtain final result information, and when final result information is correct, operational order is generated according to final result information and is sent to external equipment, to control external equipment.The application also provides corresponding device.The application realizes the control to external equipment, is not take up the resource of external equipment itself, while effectively controlling external equipment.
Description
Technical field
The disclosed embodiment of the application is related to field of speech recognition, and more specifically, is related to a kind of control of equipment
Method and device, non-volatile memory medium.
Background technique
Speech recognition, and be the importance for realizing intelligentized control method according to the control of the voice identified.Currently,
Speech recognition is usually carried out on the master, can occupy main equipment resource in this way, and reduce the operation of other programs on main equipment
Speed.Meanwhile speech recognition, but the discrimination phase of speech recognition generally also are carried out in equipment end and its corresponding cloud or server
To lower.
Summary of the invention
In view of this, the application provides a kind of control method and device of equipment, non-volatile memory medium, on solving
State problem.
According to the one side of the application, a kind of control method of equipment is provided.The control method includes: that origination node will
Identification mission is sent in block chain network the every other service node in addition to origination node, so that other each service nodes
Analysis identification is carried out to identification mission according to the private data library of itself;And the origination node receives other each business sections
The identification of point feedback and matching result, the identification for counting every other service node feedback and matching result are to obtain final result
Information, and when the final result information is correct, operational order is generated according to the final result information and is sent to outside
Equipment, to control the external equipment.
According to a second aspect of the present application, a kind of control device of equipment is provided.The device include processor and with place
The memory of device coupling is managed, memory is stored with computer instruction, and computer instruction makes processor execute such as the when being executed
The control method of equipment described in one side.
According to the third aspect of the application, a kind of non-volatile memory medium is provided, is stored with computer instruction, is calculated
Machine instruction makes the control method of processor execution equipment as described in first aspect when being executed.
The beneficial effect of the application has: other business being sent to identification mission by origination node in block chain network
Node, other service nodes in block chain network carry out analysis identification to identification mission according to the private data library of itself, into
And origination node receives identification and the matching result of other service nodes feedback, and counts the identification of feedback and matching result obtains
Final result information generates operational order to external equipment according to final result information, thus realize the control to external equipment,
It is not take up the resource of external equipment itself, while effectively controlling external equipment.
Detailed description of the invention
Fig. 1 is the structural schematic diagram of the block chain network of one embodiment of the application.
Fig. 2 is the structural schematic diagram of the storage equipment of one embodiment of the application.
Fig. 3 is the flow chart of the control method of the equipment of one embodiment of the application.
Fig. 4 is the flow chart of the control method of the equipment of another embodiment of the application.
Fig. 5 is the flow chart of the control method of the equipment of the another embodiment of the application.
Fig. 6 is the flow chart of the control method of the equipment of the another embodiment of the application.
Fig. 7 is the flow chart for realizing the step 610 in Fig. 6 of one embodiment of the application.
Fig. 8 is the flow chart for realizing the step 610 in Fig. 6 of another embodiment of the application.
Fig. 9 is the structural schematic diagram of the control device of the equipment of the embodiment of the present application.
Figure 10 is the structural schematic diagram of the non-volatile memory medium of the embodiment of the present application.
Specific embodiment
Present specification and claims in the whole text used in certain terms refer to particular elements.Such as the technology of fields
Personnel are it is understood that electronic equipment set manufacturer can refer to the same component using different names.Herein not with title
It distinguishes component, but component is distinguished with function.In following description and claims, term " comprising " is open
Restriction word, therefore it should be interpreted to mean " including but not limited to ... ".In addition, term " coupling " is intended to mean Indirect Electro
Connection is directly electrically connected.Therefore, when a device is coupled to another device, then it is this connection can be directly electrical connection or
The indirect electrical connection realized by other devices and interconnecting piece.
Block chain technology is the novel distributed data organizer of one kind risen with the digital encryptions such as bit coin currency
Method and operation mode.Its biggest characteristic is that: decentralization, this enables data to realize distributed collective's maintenance, be greatly improved
Data operation, management, maintenance efficiency;It knows together, a set of common recognition mechanism is based between node, safeguard entire area jointly by competing to calculate
Block chain, any node failure, remaining node remain to work normally.The block chain for carrying asymmetric encryption techniques simultaneously has Gao An
Quan Xing, trackability can effectively prevent leaking data or illegally distort.
The application in order to facilitate understanding is first illustrated block chain network used by the application.
As shown in Figure 1, being the structural schematic diagram of the block chain network of one embodiment of the application.The block chain network 11 is
The multinode network system formed using block chain technology.In the present embodiment, which includes multiple operation blocks
Chain technology and participate in the accounting nodes 111-115 of same block chain (also referred to as block chain accounting nodes or service node united below
Referred to as service node).The block chain network 11 is for managing file.Specifically, each business section in the block chain network 11
Point 111-115 is that the digital finger-print of file is stored in the block chain network 11 with the service node of competition accounting capabilities
In each service node 111-115 local block chain block in, therefore each service node 111-115 saves this document
Digital finger-print, realize file digital finger-print distributed storage.
Above-mentioned service node 111-115 is specifically as follows any electronic equipment, such as server, mobile phone, computer, plate
Computer etc., in an embodiment, which is block chain server, the service node 112 is with traffic handing capacity
Application server, and can be used as the deposit system based on block chain.It is understood that above-mentioned each service node 111-
115 can be communicated between each other by block chain network 11.
Above-mentioned service node 111-115 can also be storage equipment 200, or any electronics including storing equipment 200
Equipment.Specifically, as shown in Fig. 2, being the structural schematic diagram of the storage equipment of the embodiment of the present application.The storage equipment 200 includes
Controller 210 and the sound collector 220 being electrically connected respectively with controller 210, speech recognition device 230 and first memory
240.The storage equipment 200 can be speech recognition USB flash disk.
First memory 240 is for storing data and program required for operation storage equipment 200.In one embodiment,
First memory 240 is also desirably integrated into controller 210.
Sound collector 220 can be sound pick-up, be used to acquire extraneous voice messaging, and collected voice is believed
Breath is sent to speech recognition device 230 by controller 210 and is analyzed and identified.The sound pick-up is digital sound pick-up or simulation
Sound pick-up.Digital sound pick-up is exactly that the audio signal of simulation is converted into digital signal by digital information processing system and is carried out
The sound sensor equipment of corresponding Digital Signal Processing.Sound pick-up is simulated just only with the amplification microphone acquisition of general analog circuit
The sound arrived.
Speech recognition device 230 include processor 231 and the second memory 232 that is electrically connected respectively with processor 231 and
Third memory 233.Second memory 232 is for the common recognition database in memory block chain network;Third memory 233 is used for
Store current business node, such as storage equipment itself, private data library.The common recognition database is also referred to as in block catenary system
For account book, book keeping operation account book, model-parameter account book can be further divided into.
In block chain network of the invention, all service nodes are in addition to the common recognition data that are stored in block chain network
It further include being stored in local private data library outside library.
In one example, processor 231 is embedded neural network processor.Second memory 232 and third memory
233 can be different storage zone in a memory module.In one example, second memory 232 and third memory 233 can be with
For Flash chip, more specifically Nand flash crystal grain.
Wherein for controller 210 when receiving user instruction, control sound collector 220 acquires the voice messaging of user,
And by transmission of speech information to speech recognition device 230, the processor 231 of speech recognition device 230 to voice messaging carry out analysis and
Identification, to obtain recognition result, by recognition result respectively with the common recognition database and third memory in second memory 232
The information in private data library in 233 is matched, and is more than the matching result of preset threshold as most terminating using matching degree
Fruit information is to be stored in the private data library of third memory 233.
In the present embodiment, include speech recognition device by storage equipment, realize the control to external equipment, be not take up outer
The resource of portion's equipment itself, while external equipment is effectively controlled, and include two memories by speech recognition device 230, make
It obtains after voice messaging is analyzed and identified, is matched respectively with corresponding information, and then improve the effect of speech recognition
Rate.
In one embodiment, which further includes for generating operational order according to result information to be sent to
The generator 250 of external equipment, wherein generator 250 is connect with controller 210.In one example, which can be
One integrated circuit.
In one embodiment, which further includes being used to connect with external devices so that operational order to be sent to
The USB interface 260 of external equipment, USB interface 260 are connect with controller 210.
In one embodiment, speech recognition device 230 further includes turning for converting speech information into the modulus of digital information
Change circuit 270.The analog to digital conversion circuit 270 is connect with controller 210, and is connect with the processor of speech recognition device 230 231.
As shown in figure 3, being the flow chart of the control method of the equipment of one embodiment of the application.The execution master of the control method
Body is origination node, and origination node can be one in above-mentioned service node 111-115.In the present embodiment, these business
Node can be above-mentioned storage equipment or be any electronic equipment for including above-mentioned storage equipment.The control method 300 includes:
Step 310: give identification mission to the every other service node in block chain network in addition to origination node, so that
Other each service nodes carry out analysis identification to identification mission according to the private data library of itself.
Origination node refers to initiating the service node of voice recognition tasks, can be any industry in block chain network
Business node, for example, any service node 111-115 in Fig. 1.In the present embodiment, which is the storage equipment of Fig. 2
200。
Origination node acquires voice messaging, generates identification mission according to voice messaging, and then identification mission is sent to area
Every other service node in block chain network in addition to origination node, every other service node receive voice messaging, and to it
In voice messaging execute speech recognition, and then obtain corresponding recognition result and matching result, and by corresponding recognition result
And matching result feeds back to origination node.
In one embodiment, origination node by identification mission be sent to the every other service node in block chain network it
Before, comprising: origination node generates identification mission according to voice messaging, and identification mission is broadcast in block chain network, wherein
Identification mission includes voice messaging and identification request.Origination node generates identification mission according to voice messaging, and identification mission is wide
It is multicast in block chain network, other service nodes in such block chain network can receive the identification mission.
In one embodiment, other service nodes to voice messaging execute speech recognition include: other service nodes according to
Identification request in identification mission identifies voice messaging, to obtain recognition result;And the private data library at itself
In recognition result is matched, to obtain matching result.
Step 320: receiving identification and the matching result of each other service nodes feedback, count every other service node
The identification of feedback and matching result are believed to obtain final result information, and when final result information is correct according to final result
Breath generates operational order and is sent to external equipment, to control external equipment.
Origination node receives identification and the matching result of each other service nodes feedback, ties to all identification and matching
Fruit is counted, and final result information is obtained, and wherein final result information is probability of occurrence in all identification and matching result
At least one highest identification and matching result.
Origination node generates operational order according to final result information and is sent to outside when final result information is correct
Equipment, so that external equipment executes corresponding operating according to operational order.
In the present embodiment, identification mission is sent to by every other business section in block chain network by origination node
Point, every other service node in block chain network execute speech recognition to voice messaging, so origination node receive it is all
The identification of other service nodes feedback and matching result, and final result information is counted, it is generated and is grasped according to final result information
It instructs to external equipment, to realize the control to external equipment, is not take up the resource of external equipment itself, while effectively control
External equipment processed.
As shown in figure 4, being the flow chart of the control method of the equipment of another embodiment of the application.
The control method 400 includes:
Step 410: identification mission is sent in block chain network the every other industry in addition to origination node by origination node
Business node, so that other each service nodes carry out analysis identification to identification mission according to the private data library of itself.
Wherein identification mission includes voice messaging and identification request.
Step 420: origination node receives identification and the matching result of each other service nodes feedback, and counts all
Identification and matching result are to obtain final result information.
Step 430: judging whether final result information is correct.
Origination node judges whether final result information is correct, i.e. whether confirmation speech recognition is accurate, and then concludes final
Whether result information is information needed for itself.
If final result information is correct, 440 and/or step 450 are thened follow the steps.It is executed if final result information errors
Step 470.
Step 440: the storage of final result information being arrived to the private data library of itself, and is generated and is grasped according to final result information
It instructs.After generating operational order, step 460 is executed.
The storage of final result information is arrived the private data library of itself when determining that final result information is correct by origination node
In.As described in above-described embodiment, the private data library of origination node is stored in the second memory 232 of origination node.
Step 450: being rewarded according to service node of the common recognition mechanism to the correct identification of feedback and matching result.
Origination node determines that final result information is correct, then according to the identification correct to feedback of common recognition mechanism and matching result
Service node is rewarded.For example, as shown in Figure 1, if origination node is service node 111, when service node 111 initiates voice
After identification mission, which is sent to service node 112,113,114,115, service node by block chain network 11
112,113,114,115 after receiving identification mission, be utilized respectively itself private data to the identification mission carry out identification and
Matching, and identification and matching result are returned into service node 111.If confirming through service node 111, service node 112 and 113
The identification of feedback and matching result are correct, the identification and matching result mistake that service node 114 and 115 is fed back, then according to block
Chain common recognition mechanism rewards service node 112 and service node 113.
Step 460: operational order being sent to external equipment, so that external equipment executes corresponding behaviour according to operational order
Make.
Step 470: being punished according to service node of the common recognition mechanism to wrong identification and matching result.For example, such as Fig. 1
Shown, if origination node is service node 111, after service node 111 initiates voice recognition tasks, which passes through area
Block chain network 11 is sent to service node 112,113,114,115, and service node 112,113,114,115 is receiving identification mission
Afterwards, the private data for being utilized respectively itself is identified and is matched to the identification mission, and identification and matching result are returned to
Service node 111.If confirming through service node 111, the identification and matching result that service node 112 and 113 is fed back are correct, business
The identification and matching result mistake that node 114 and 115 is fed back then know together mechanism to service node 114 and business according to block chain
Node 115 is punished.
In one embodiment, the content rewarded and punished can count for block chain.It counts for block chain high business
Node is easier to be received by other service nodes when initiating identification mission, and can be by other service node priority processings.It is right
It counts in block chain low service node, the identification mission initiated may be by other service node delay disposals, or even refuse
Processing absolutely.Specifically delay disposal or refusal processing, the mechanism that can be known together according to block chain set related critical parameter or threshold value.
As shown in figure 5, being the flow chart of the control method of the equipment of the another embodiment of the application.Reality in above-mentioned Fig. 3
On the basis of applying example, identical part is not described in detail herein.The control method 300 includes:
Step 310: give identification mission to the every other service node in block chain network in addition to origination node, so that
Other each service nodes carry out analysis identification to identification mission according to the private data library of itself.Wherein identification mission includes language
Message breath and identification request.
Step 320: receiving identification and the matching result of each other service nodes feedback, count every other service node
The identification of feedback and matching result are believed to obtain final result information, and when final result information is correct according to final result
Breath generates operational order and is sent to external equipment, to control external equipment.
Step 330: when the number that identification mission is initiated in block chain network is more than preset times or is provided correct
The ratio of the total quantity of all service nodes is super in the quantity and block chain network of other service nodes of identification and matching result
When crossing threshold value, final result information is stored to the common recognition database of itself, and broadcasts all business into block chain network
Node.
When the number that the identification mission in block chain network is initiated is more than preset times, that is to say, that the identification is appointed
Business by block chain network other service nodes initiate number be more than preset times when, or when provide correctly identification and
When the ratio of the total quantity of all service nodes is more than threshold value in the quantity and block chain network of other service nodes with result,
Origination node stores final result information to the common recognition database of itself, and is broadcasted by block chain network to block chain network
In all service nodes.In this way, being convenient for other service nodes, it can directly acquire when carrying out same speech recognition and most terminate
Fruit information.
As shown in fig. 6, being the flow chart of the control method of the equipment of the another embodiment of the application.The control method includes:
Step 610: origination node executes speech recognition to voice messaging, to obtain final result information.
Step 620: judging whether origination node itself executes the obtained final result information of speech recognition correct.
When origination node itself, which executes speech recognition, obtains final result information, judge final result information whether just
Really, if final result information is correct, operational order is directly generated according to final result information, and be sent to external equipment, with
Control external equipment.If final result information is incorrect, 310-320 is thened follow the steps.
Step 310: identification mission is sent in block chain network the every other service node in addition to origination node, with
Other each service nodes are made to carry out analysis identification to identification mission according to the private data library of itself.
Step 320: receiving identification and the matching result of each other service nodes feedback, count every other service node
The identification of feedback and matching result are believed to obtain final result information, and when final result information is correct according to final result
Breath generates operational order and is sent to external equipment, to control external equipment.In the present embodiment, origination node according to itself
Private data library and common recognition database execute speech recognition to voice messaging, when judgement identification and correct matching result, originate
Node directly generates operational order according to final result information, and is sent to external equipment, so that external equipment is according to operation
Instruction execution corresponding operating.Meet not preset condition in the final result information that origination node itself executes speech recognition and obtains
When (such as when can not be identified or be matched or think identification and matching result mistake), origination node sends out voice messaging
The every other service node in block chain network is given, and then speech recognition is executed by every other service node.
It should be noted that step 310 and 320 has been described in detail in the embodiment of above-mentioned Fig. 3, details are not described herein.
In addition, the present embodiment can also be in conjunction with the embodiment in above-mentioned Fig. 4, i.e., after step 620, if final result information is not just
Really, 410-470 is thened follow the steps.
In one embodiment, as shown in fig. 7, step 610 includes:
Step 611: obtaining voice messaging.
In the present embodiment, origination node is the node 111-115 in block chain network shown in Fig. 1, and it can be upper
State storage equipment or any electronic equipment including above-mentioned storage equipment.
For example, controller 210 obtains voice messaging, wherein voice messaging is acquired by sound collector 220.?
In one example, voice messaging is transmitted to speech recognition device 230 via analog to digital conversion circuit 270 by controller 210.
Step 612: voice messaging being analyzed and is identified, to obtain recognition result.
For example, speech recognition device 230 is analyzed and is identified to voice messaging.
Step 613: by recognition result respectively with the private data library of origination node itself and common recognition database in information
It is matched.
For example, controller 210 by recognition result respectively in second memory 232 private data library and third memory
The information in common recognition database in 233 is matched.
Step 614: being more than the matching result of preset threshold as final result information using matching degree.
For example, controller 210 using matching degree be more than preset threshold matching result as final result information, then, can
To generate operational order according to final result information and be sent to external equipment.
In another embodiment, as shown in figure 8, step 610 includes:
Step 611: obtaining voice messaging.
In the present embodiment, origination node is the node 111-114 in block chain network shown in Fig. 1, and it can be upper
State storage equipment or any electronic equipment including above-mentioned storage equipment.
For example, controller 210 obtains voice messaging, wherein voice messaging is acquired by sound collector 220.?
In one example, voice messaging is transmitted to speech recognition device 230 via analog to digital conversion circuit 270 by controller 210.
Step 612: voice messaging being analyzed and is identified, to obtain recognition result.
For example, speech recognition device 230 is analyzed and is identified to voice messaging.
Step 613: by recognition result respectively with the private data library of origination node itself and common recognition database in information
It is matched.
For example, controller 210 by recognition result respectively in second memory 232 private data library and third memory
The information in common recognition database in 233 is matched.
Step 613 ': the matching result for being more than preset threshold to matching degree confirms.
Step 614: being more than the matching result of preset threshold as most terminating using matching degree when confirming that matching result is correct
Fruit information.
For example, controller 210 using matching degree be more than preset threshold matching result as final result information, then, can
To generate operational order according to final result information and be sent to external equipment.
As shown in figure 9, being the structural schematic diagram of the control device of the equipment of the embodiment of the present application.In the present embodiment, the control
Device processed can be any electronic equipment for including above-mentioned storage equipment, which is in block chain network shown in Fig. 1
Node 111-114.The electronic equipment 90 includes memory 910, processor 920 and telecommunication circuit 930.Wherein, electronics is set
Standby 90 various components can be coupled by connecting line or processor 920 is connect with other assemblies one by one respectively.
Telecommunication circuit 930 is used to communicate with other nodes realization in other electronic equipments such as block chain network, specifically may be used
Including transmitters and receivers.
Computer instruction, processor 920 number during processing of the memory 910 for the execution of storage processor 920
Accordingly and local block chain, wherein the memory 910 includes non-volatile memory portion, for storing above-mentioned computer instruction.
In one embodiment, memory 910 can be a part of above-mentioned storage equipment.
Processor 920 controls the operation of the electronic equipment 90, and processor 920 can also be known as CPU (Central
Processing Unit, central processing unit).Processor 920 may be a kind of IC chip, the processing with signal
Ability.Processor 920 can also be general processor, digital signal processor (DSP), specific integrated circuit (ASIC), ready-made
Programmable gate array (FPGA) either other programmable logic device, discrete gate or transistor logic, discrete hardware group
Part.General processor can be microprocessor or the processor is also possible to any conventional processor etc..
In the present embodiment, the computer instruction that processor 920 is stored by calling memory 910, it is above-mentioned to execute
Step performed by any node in embodiment of the method.
The application also provides a kind of embodiment of non-volatile memory medium, and as shown in Figure 10, which is situated between
Matter 100 is stored with the computer instruction 101 that processor can be run, and the computer instruction 101 is for executing in above-described embodiment
Method.Specifically, the memory 910 which specifically can be as shown in Figure 9.
Those skilled in the art is apparent from, and can make while keeping the teachings of the application to device and method
Many modifications and variation.Therefore, above disclosure should be considered as only being limited by the range of appended claim.
Claims (11)
1. a kind of control method of equipment characterized by comprising
Identification mission is sent in block chain network the every other service node in addition to origination node by origination node, so that often
Other a described service nodes carry out analysis identification to identification mission according to the private data library of itself;And
The origination node receives identification and the matching result of each other service nodes feedback, count it is all it is described other
The identification of service node feedback and matching result are to obtain final result information, and when the final result information is correct, root
Operational order is generated according to the final result information and is sent to external equipment, to control the external equipment.
2. control method as described in claim 1, which is characterized in that identification mission is sent to block chain by the origination node
Every other service node in network in addition to origination node, comprising:
The origination node generates the identification mission according to voice messaging, and the identification mission is broadcast to the block
In chain network, wherein the identification mission includes the voice messaging and identification request.
3. control method as claimed in claim 2, which is characterized in that other described each described service nodes according to itself
Private data library carries out analysis identification to identification mission
The every other service node according in the identification mission identification request the voice messaging is identified, with
Obtain recognition result;And
The recognition result is matched in the private data library of itself, to obtain matching result.
4. control method as described in claim 1, which is characterized in that the origination node obtain the final result information it
Afterwards, further includes:
Judge whether the final result information is correct;And
If the final result information is correct, itself private data library is arrived into final result information storage, and according to
The final result information generates the operational order.
5. control method as claimed in claim 4, which is characterized in that the control method further include:
If the final result information is correct, according to the service node of the identification correct to feedback of common recognition mechanism and matching result into
Row reward;And
If the final result information is incorrect, carried out according to service node of the common recognition mechanism to wrong identification and matching result
Punishment.
6. control method as described in claim 1, which is characterized in that the control method further include:
The number that the identification mission described in the block chain network is initiated is more than preset times or provides correctly identification and matching
It as a result, will when the ratio of the total quantity of all service nodes is more than threshold value in the quantity and block chain network of other service nodes
Final result information is stored to the common recognition database of itself, and broadcasts all service nodes into block chain network.
7. control method as described in claim 1, which is characterized in that identification mission is sent to block in the origination node
Before every other service node in chain network in addition to origination node, further includes:
The origination node executes speech recognition to the voice messaging, to obtain the final result information.
8. control method as claimed in claim 7, which is characterized in that the origination node executes voice to the voice messaging
Identification includes:
Obtain the voice messaging;
The voice messaging is analyzed and identified, to obtain recognition result;
The recognition result is carried out with the information in the private data library of the origination node itself and common recognition database respectively
Matching;And
It is more than the matching result of preset threshold as the final result information using matching degree.
9. control method as claimed in claim 8, which is characterized in that the origination node executes voice to the voice messaging
Identification further include:
The matching result for being more than the preset threshold to matching degree confirms, to incite somebody to action when confirming that the matching result is correct
Matching degree is more than the matching result of preset threshold as the final result information.
10. a kind of control device of equipment, which is characterized in that the memory including processor and with processor coupling, institute
It states memory and is stored with computer instruction, the computer instruction makes the processor execute such as claim 1- when being executed
The control method of equipment described in any one of 9.
11. a kind of non-volatile memory medium, which is characterized in that be stored with computer instruction, the computer instruction is executing
When make processor execute the control method of equipment as claimed in any one of claims 1-9 wherein.
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Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111597026A (en) * | 2020-05-15 | 2020-08-28 | 北京百度网讯科技有限公司 | Method and apparatus for obtaining information |
CN116741175A (en) * | 2023-08-14 | 2023-09-12 | 深圳市实信达科技开发有限公司 | Block chain-based intelligent data transmission supervision system and method |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20030139924A1 (en) * | 2001-12-29 | 2003-07-24 | Senaka Balasuriya | Method and apparatus for multi-level distributed speech recognition |
CN101807399A (en) * | 2010-02-02 | 2010-08-18 | 华为终端有限公司 | Voice recognition method and device |
CN102541505A (en) * | 2011-01-04 | 2012-07-04 | 中国移动通信集团公司 | Voice input method and system thereof |
CN103077718A (en) * | 2013-01-09 | 2013-05-01 | 华为终端有限公司 | Speech processing method, system and terminal |
CN103646646A (en) * | 2013-11-27 | 2014-03-19 | 联想(北京)有限公司 | Voice control method and electronic device |
CN108961055A (en) * | 2018-07-02 | 2018-12-07 | 上海达家迎信息科技有限公司 | A kind of rewards and punishments method, apparatus, equipment and the storage medium of block common recognition |
-
2019
- 2019-01-10 CN CN201910024448.XA patent/CN109741743B/en active Active
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20030139924A1 (en) * | 2001-12-29 | 2003-07-24 | Senaka Balasuriya | Method and apparatus for multi-level distributed speech recognition |
CN101807399A (en) * | 2010-02-02 | 2010-08-18 | 华为终端有限公司 | Voice recognition method and device |
CN102541505A (en) * | 2011-01-04 | 2012-07-04 | 中国移动通信集团公司 | Voice input method and system thereof |
CN103077718A (en) * | 2013-01-09 | 2013-05-01 | 华为终端有限公司 | Speech processing method, system and terminal |
CN103646646A (en) * | 2013-11-27 | 2014-03-19 | 联想(北京)有限公司 | Voice control method and electronic device |
CN108961055A (en) * | 2018-07-02 | 2018-12-07 | 上海达家迎信息科技有限公司 | A kind of rewards and punishments method, apparatus, equipment and the storage medium of block common recognition |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111597026A (en) * | 2020-05-15 | 2020-08-28 | 北京百度网讯科技有限公司 | Method and apparatus for obtaining information |
CN116741175A (en) * | 2023-08-14 | 2023-09-12 | 深圳市实信达科技开发有限公司 | Block chain-based intelligent data transmission supervision system and method |
CN116741175B (en) * | 2023-08-14 | 2023-11-03 | 深圳市实信达科技开发有限公司 | Block chain-based intelligent data transmission supervision system and method |
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