CN111176618B - Method and system for developing program by voice wakeup - Google Patents
Method and system for developing program by voice wakeup Download PDFInfo
- Publication number
- CN111176618B CN111176618B CN201911261338.1A CN201911261338A CN111176618B CN 111176618 B CN111176618 B CN 111176618B CN 201911261338 A CN201911261338 A CN 201911261338A CN 111176618 B CN111176618 B CN 111176618B
- Authority
- CN
- China
- Prior art keywords
- program
- module
- voice
- grammar
- text
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000000034 method Methods 0.000 title claims abstract description 27
- 230000006870 function Effects 0.000 claims abstract description 68
- 238000006243 chemical reaction Methods 0.000 claims abstract description 16
- 238000012545 processing Methods 0.000 claims abstract description 6
- 230000006798 recombination Effects 0.000 claims description 17
- 238000005215 recombination Methods 0.000 claims description 17
- 238000011161 development Methods 0.000 claims description 6
- 238000005516 engineering process Methods 0.000 claims description 3
- 239000000284 extract Substances 0.000 claims description 3
- 238000004321 preservation Methods 0.000 claims description 3
- 230000002618 waking effect Effects 0.000 claims description 2
- 238000012790 confirmation Methods 0.000 abstract description 28
- 238000000926 separation method Methods 0.000 description 10
- 230000008571 general function Effects 0.000 description 9
- 230000015572 biosynthetic process Effects 0.000 description 8
- 238000012937 correction Methods 0.000 description 8
- 238000003786 synthesis reaction Methods 0.000 description 8
- 238000013519 translation Methods 0.000 description 8
- 230000008030 elimination Effects 0.000 description 7
- 238000003379 elimination reaction Methods 0.000 description 7
- 238000000605 extraction Methods 0.000 description 6
- 238000007639 printing Methods 0.000 description 5
- 238000010586 diagram Methods 0.000 description 4
- 230000008569 process Effects 0.000 description 4
- 230000008521 reorganization Effects 0.000 description 4
- 230000009471 action Effects 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 2
- 238000011160 research Methods 0.000 description 2
- 230000035945 sensitivity Effects 0.000 description 2
- 230000004075 alteration Effects 0.000 description 1
- 230000002457 bidirectional effect Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000008570 general process Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F8/00—Arrangements for software engineering
- G06F8/20—Software design
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F8/00—Arrangements for software engineering
- G06F8/30—Creation or generation of source code
- G06F8/33—Intelligent editors
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F8/00—Arrangements for software engineering
- G06F8/40—Transformation of program code
- G06F8/41—Compilation
- G06F8/42—Syntactic analysis
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/22—Procedures used during a speech recognition process, e.g. man-machine dialogue
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
Landscapes
- Engineering & Computer Science (AREA)
- General Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Software Systems (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Computational Linguistics (AREA)
- Health & Medical Sciences (AREA)
- Audiology, Speech & Language Pathology (AREA)
- Human Computer Interaction (AREA)
- Acoustics & Sound (AREA)
- Multimedia (AREA)
- Machine Translation (AREA)
Abstract
The invention discloses a method and a system for developing a program by voice wakeup, comprising the following steps: step 1: dictation language analysis, step 2: keyword matching, step 3: key words are effectively converted, and step 4: the invention relates to the technical field of program development, in particular to effective storage after grammar conversion. According to the method and the system for developing the program through voice awakening, the system can split the existing program in detail through the program overall function confirmation module through joint arrangement of the program overall function confirmation module, the program basic function confirmation module, the program content splitting module and the program function splitting module, the central processing system calls the program overall function confirmation module to confirm all program functions, then confirms the program functions through the program basic function confirmation module, splits the program functions through the program content splitting module, and finally splits the program according to the functions through the program function splitting module.
Description
Technical Field
The invention relates to the technical field of program development, in particular to a method and a system for developing a program by voice wakeup.
Background
The software development flow, namely the general process of the software design thought and method, comprises a series of operations of firstly carrying out demand analysis on the software, designing the functions and the implemented algorithms and methods of the software, designing the overall structure and modules of the software, coding and debugging, program linkage and testing, writing and submitting the program and the like so as to meet the demands of customers and solve the problems of the customers, and if the demands are higher, the software is also required to be maintained, upgraded and scrapped, and the life cycle of the software comprises four main stages from the management point of view, namely from the aspects of business and economy, namely an initial stage, a refinement stage, a construction stage and a handover stage.
During development of a common program, workers are often required to research enterprises, and then special program developers are required to develop the enterprise in detail, but the development process makes the program not popular with most enterprises, and each main body in the market hopes to develop and customize a practical program matched with the main body according to own needs, so that a method and a system for developing the program through voice control are urgently required.
Disclosure of Invention
(one) solving the technical problems
Aiming at the defects of the prior art, the invention provides a method and a system for developing a program by voice awakening, which solve the problems that during the development of a common program, workers are often required to research enterprises, and then special program developers develop the program in detail, but the development process makes the program not popular in most enterprises, and each main body in the market hopes to develop and customize a practical program matched with the main body according to the needs of the main body.
(II) technical scheme
In order to achieve the above purpose, the invention is realized by the following technical scheme: a method of voice wakeup development program comprising the steps of:
step 1: spoken language parsing: the recording device records the common human language spoken by the program developer, and analyzes and records the sentences spoken by the program developer into texts through the voice processor;
step 2: keyword matching: the central processing unit extracts related keywords from the text which is already analyzed and stored, and the extracted keywords are stored and recombined for the second time;
step 3: key word effective conversion: the extracted keywords are subjected to secondary arrangement and recombination with a related keyword database, the recombined keywords are matched again through a grammar database developed by a related program, so that the keywords are combined with the related database, and finally grammar which can be understood by the program is formed;
step 4: and (3) effective preservation after grammar conversion: saving the understood grammar, and then converting the grammar into a password for correspondingly calling the storage information of the distributed account book;
step 5: splitting existing program functions: subdividing the existing program functions, infinitely splitting the program functions through a system, and storing subdivision programs with basic program functions through a distributed account book technology;
step 6: self-checking before operation: and performing starting self-checking on all the processed programs.
The invention also discloses a system for developing the program by waking up the voice, which comprises a central program processing system, wherein the output end of the central program processing system is electrically connected with the input end of the printing module, the input end of the central program processing system is electrically connected with the output ends of the power module and the recording equipment, and the central program processing system is in bidirectional connection with a network database, a grammar database, a standard recording module, an error correction analysis translation module, a program basic function splitting module, a keyword extraction module and a grammar conversion module.
Preferably, the standard recording module comprises a human voice recognition module, a voice recording module, a voice eliminating interference module and a voice recombination and synthesis module, wherein the output end of the human voice recognition module is electrically connected with the input end of the voice recording module.
Preferably, the output end of the voice recording module is electrically connected with the input end of the voice transmission interference module, and the output end of the voice interference elimination module is electrically connected with the input end of the voice recombination synthesis module.
Preferably, the error correction analysis translation module comprises a text word recognition module, a text grammar recognition module, a text content reorganization module and a text content comparison module, wherein the output end of the text word recognition module is electrically connected with the input end of the text grammar recognition module.
Preferably, the output end of the text grammar recognition module is electrically connected with the input end of the text content reorganization module, and the output end of the text content reorganization module is electrically connected with the input end of the text content comparison module.
Preferably, the program basic function splitting module comprises a program overall function confirming module, a program basic function confirming module, a program content splitting module and a program function splitting module, wherein the output end of the program overall function confirming module is electrically connected with the input end of the program basic function confirming module.
Preferably, the output end of the program basic function confirmation module is electrically connected with the input end of the program content splitting module, and the output end of the program content splitting module is electrically connected with the input end of the program function splitting module.
(III) beneficial effects
The invention provides a method and a system for developing a program by voice wakeup. Compared with the prior art, the method has the following beneficial effects:
(1) The method and the system for developing the program by the voice wakeup comprise a program general function confirmation module, a program basic function confirmation module, a program content separation module and a program function separation module, wherein the output end of the program general function confirmation module is electrically connected with the input end of the program basic function confirmation module, the output end of the program basic function confirmation module is electrically connected with the input end of the program content separation module, the output end of the program content separation module is electrically connected with the input end of the program function separation module, and the program general function confirmation module, the program basic function confirmation module, the program content separation module and the program function separation module are jointly arranged, so that the system can carry out detailed separation on the existing program through the program general function confirmation module, the central program processing system invokes the program general function confirmation module to confirm all program functions, then confirms the program functions through the program basic function confirmation module, separates the program functions through the program content separation module, and finally completely separates the program according to functions through the program function separation module.
(2) According to the method and the system for developing the program through the voice wakeup, the error correction analysis translation module comprises a text word recognition module, a text grammar recognition module, a text content recombination module and a text content comparison module, wherein the output end of the text word recognition module is electrically connected with the input end of the text grammar recognition module, the output end of the text grammar recognition module is electrically connected with the input end of the text content recombination module, the output end of the text content recombination module is electrically connected with the input end of the text content comparison module, the system can recognize human voice in background noise at the first time through the arrangement of the human voice recognition module, the voice recording module, the voice elimination interference module and the voice recombination synthesis module under the condition of full background noise, and voice recording equipment is subjected to grammar recombination and the like through the recording equipment so that voice recognition can be performed according to a database, and the system can recognize sentences quickly through different arrangements.
(3) According to the method and the system for developing the program through voice awakening, the two-way connection is realized through the keyword extraction module and the grammar conversion module, after voice of a worker is converted into a text through the keyword extraction module and the grammar conversion module, the data can be recognized in time according to different sensitivities, and the grammar in the text data is converted by the grammar conversion module through the grammar conversion module, so that the accuracy of voice recognition is improved, and the program conversion calling capability is improved.
Drawings
FIG. 1 is a schematic block diagram of a system of the present invention;
FIG. 2 is a schematic block diagram of a system of the standard recording module of the present invention;
FIG. 3 is a schematic block diagram of a system of the error correction analysis translation module of the present invention;
FIG. 4 is a system schematic block diagram of a program basic function splitting module of the present invention;
in the figure, 1, a central program processing system; 2. a printing module; 3. a power module; 4. recording equipment; 5. a network database; 6. a grammar database; 7. a standard recording module; 71. a human voice recognition module; 72. a voice recording module; 73. a voice interference elimination module; 74. a voice recombination and synthesis module; 8. an error correction analysis translation module; 81. a text word recognition module; 82. a text grammar recognition module; 83. a text content reorganization module; 84. a text content comparison module; 9. a program basic function splitting module; 91. a program overall function confirmation module; 92. a program basic function confirmation module; 93. a program content splitting module; 94. a program function splitting module; 10. a keyword extraction module; 11. and a grammar conversion module.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1-4, the embodiment of the present invention provides a technical solution: a method of voice wakeup development program comprising the steps of:
step 1: spoken language parsing: the recording device records the common human language spoken by the program developer, and analyzes and records the sentences spoken by the program developer into texts through the voice processor;
step 2: keyword matching: the central processing unit extracts related keywords from the text which is already analyzed and stored, and the extracted keywords are stored and recombined for the second time;
step 3: key word effective conversion: the extracted keywords are subjected to secondary arrangement and recombination with a related keyword database, the recombined keywords are matched again through a grammar database developed by a related program, so that the keywords are combined with the related database, and finally grammar which can be understood by the program is formed;
step 4: and (3) effective preservation after grammar conversion: saving the understood grammar, and then converting the grammar into a password for correspondingly calling the storage information of the distributed account book;
step 5: splitting existing program functions: subdividing the existing program functions, infinitely splitting the program functions through a system, and storing subdivision programs with basic program functions through a distributed account book technology;
step 6: self-checking before operation: and performing starting self-checking on all the processed programs.
The invention also discloses a system for developing a voice wake-up development program, which comprises a central program processing system 1, wherein the output end of the central program processing system 1 is electrically connected with the input end of a printing module 2, the input end of the central program processing system 1 is electrically connected with the input end of a power module 3 and the output end of a recording device 4, the central program processing system 1 is electrically connected with a network database 5, a grammar database 6, a standard recording module 7, an error correction analysis translation module 8, a program basic function splitting module 9, a keyword extraction module 10 and a grammar conversion module 11, the standard recording module 7 comprises a human voice recognition module 71, a voice recording module 72, a voice elimination interference module 73 and a voice recombination synthesis module 74, the output end of the human voice recognition module 71 is electrically connected with the input end of the voice recording module 72, the output end of the voice recording module 72 is electrically connected with the input end of the voice elimination interference module 73, the output end of the voice elimination interference module 73 is electrically connected with the input end of the voice recombination synthesis module 74, the error correction analysis translation module 8 comprises a text word recognition module 81, a text recognition module 82, a text content recombination module 83 and a text content comparison module 84, the text recognition module 83 and a text content comparison module 82 are electrically connected with the output end of the grammar module 82, the text recognition module 82 is electrically connected with the text recognition module 82, the text input end of the text recognition module is electrically connected with the text module 92, the text input end of the text recognition module is electrically connected with the text module 93, the text recognition module is electrically connected with the text input end of the text recognition module 82, the text recognition module is electrically connected with the text input end of the text recognition module 82, the output end of the program general function confirmation module 91 is electrically connected with the input end of the program basic function confirmation module 92, the system can split the existing program in detail through the program general function confirmation module 91 by the joint arrangement of the program general function confirmation module 91, the program basic function confirmation module 92, the program content splitting module 93 and the program function splitting module 94, the central program processing system 1 calls the program general function confirmation module 91 to confirm all program functions, then confirms the program functions through the program basic function confirmation module 92, splits the program functions through the program content splitting module 93, finally splits the program according to the functions through the program function splitting module 94, the output end of the program basic function confirmation module 92 is electrically connected with the input end of the program content splitting module 93, by the joint arrangement of the standard recording module 7 and the error correction analysis translation module 8, the system can recognize the human voice in the background noise at the first time under the condition of full background noise through the arrangement of the human voice recognition module 71, the voice recording module 72, the voice elimination interference module 73 and the voice recombination synthesis module 74, and recombine the voice recording equipment into grammar and the like through the recording equipment so that the voice can be recognized according to the database later, the system can be recognized quickly through the different arrangement of sentences, the output end of the program content splitting module 93 is electrically connected with the input end of the program function splitting module 94, the voice of the staff can be recognized in time and can be converted into text through the arrangement of the keyword extraction module 10 and the grammar conversion module 11 according to different sensitivity, grammar in the text data is converted by the grammar conversion module 11, so that the accuracy of voice recognition is improved, and the program conversion calling capability is improved.
In use, the system supplies power to the central processing system 1 and the recording device 4 through the power module 3, the system operates, the recording device 4 immediately starts the human voice recognition module 71 once the voice is collected, after the voice is determined to be a human business, the voice is totally recorded and copied through the voice recording module 72, then the background noise in the voice and the background noise of a third party are filtered out through the voice eliminating interference module 73, finally the recorded voice is recombined through the voice recombination synthesis module 74 so as to arrange the voice conforming to the modern specifications, then a large number of words in the voice are recognized through the text word recognition module 81, then the text is recognized through the text grammar recognition module 82, then the text is recombined through the text content recombination module 83, finally the text after being recombined through the text content comparison module 84 is comprehensively compared with the network database 5 and the grammar database 6, at the same time, the central processing system 1 calls the program overall function confirmation module 91 to confirm all program functions, finally the program functions are split through the program basic function confirmation module 92, finally the program content split function is split through the program content split module 93, finally the relevant text is extracted through the text grammar recognition module 94 which is directly compared with the relevant text grammar module 10 after the grammar is extracted through the text grammar comparison module 94 which is required to be converted into the relevant text through the relevant grammar recognition module, the relevant logs can be printed by the printing module 2 as they are by the printing module 2.
It is noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (2)
1. A method for developing a program by waking up by voice, which is characterized by comprising the following steps: the method comprises the following steps:
step 1: spoken language parsing: the recording device records the common human language spoken by the program developer, and analyzes and records the sentences spoken by the program developer into texts through the voice processor;
step 2: keyword matching: the central processing unit extracts related keywords from the text which is already analyzed and stored, and the extracted keywords are stored and recombined for the second time;
step 3: key word effective conversion: the extracted keywords are subjected to secondary arrangement and recombination with a related keyword database, the recombined keywords are matched again through a grammar database developed by a related program, so that the keywords are combined with the related database, and finally grammar which can be understood by the program is formed;
step 4: and (3) effective preservation after grammar conversion: saving the understood grammar, and then converting the grammar into a password for correspondingly calling the storage information of the distributed account book;
step 5: splitting existing program functions: subdividing the existing program functions, infinitely splitting the program functions through a system, and storing subdivision programs with basic program functions through a distributed account book technology;
step 6: self-checking before operation: and performing starting self-checking on all the processed programs.
2. A system for a voice wakeup development procedure, the system being configured to implement the method of the voice wakeup development procedure of claim 1.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201911261338.1A CN111176618B (en) | 2019-12-10 | 2019-12-10 | Method and system for developing program by voice wakeup |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201911261338.1A CN111176618B (en) | 2019-12-10 | 2019-12-10 | Method and system for developing program by voice wakeup |
Publications (2)
Publication Number | Publication Date |
---|---|
CN111176618A CN111176618A (en) | 2020-05-19 |
CN111176618B true CN111176618B (en) | 2023-09-01 |
Family
ID=70648796
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201911261338.1A Active CN111176618B (en) | 2019-12-10 | 2019-12-10 | Method and system for developing program by voice wakeup |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN111176618B (en) |
Families Citing this family (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112382294B (en) * | 2020-11-05 | 2023-10-20 | 北京百度网讯科技有限公司 | Speech recognition method, device, electronic equipment and storage medium |
Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2007199315A (en) * | 2006-01-25 | 2007-08-09 | Ntt Software Corp | Content providing apparatus |
JP2008287697A (en) * | 2007-04-16 | 2008-11-27 | Sony Corp | Voice chat system, information processor, and program |
CN204706208U (en) * | 2015-06-30 | 2015-10-14 | 广州绿松生物科技有限公司 | Intelligence children education robot |
WO2018058612A1 (en) * | 2016-09-30 | 2018-04-05 | 深圳市华傲数据技术有限公司 | Configuration method and system |
CN108257597A (en) * | 2017-12-28 | 2018-07-06 | 合肥凯捷技术有限公司 | A kind of audio retrieval system based on speech recognition |
CN108305626A (en) * | 2018-01-31 | 2018-07-20 | 百度在线网络技术(北京)有限公司 | The sound control method and device of application program |
CN108597510A (en) * | 2018-04-11 | 2018-09-28 | 上海思依暄机器人科技股份有限公司 | a kind of data processing method and device |
CN108845797A (en) * | 2018-06-28 | 2018-11-20 | 深圳市乾乾编程科技有限公司 | A kind of speech recognition type programmed method, device and computer equipment |
CN110322880A (en) * | 2018-03-28 | 2019-10-11 | 上海博泰悦臻网络技术服务有限公司 | Vehicle-mounted terminal equipment and the method for waking up its multiple interactive voice program |
Family Cites Families (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20020165708A1 (en) * | 2001-05-03 | 2002-11-07 | International Business Machines Corporation | Method and system for translating human language text |
CN103200329A (en) * | 2013-04-10 | 2013-07-10 | 威盛电子股份有限公司 | Voice control method, mobile terminal device and voice control system |
CN104143329B (en) * | 2013-08-19 | 2015-10-21 | 腾讯科技(深圳)有限公司 | Carry out method and the device of voice keyword retrieval |
US9779725B2 (en) * | 2014-12-11 | 2017-10-03 | Mediatek Inc. | Voice wakeup detecting device and method |
US10140101B2 (en) * | 2015-08-26 | 2018-11-27 | International Business Machines Corporation | Aligning natural language to linking code snippets to perform a complicated task |
US10732937B2 (en) * | 2017-10-31 | 2020-08-04 | Fujitsu Limited | Programming by voice |
-
2019
- 2019-12-10 CN CN201911261338.1A patent/CN111176618B/en active Active
Patent Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2007199315A (en) * | 2006-01-25 | 2007-08-09 | Ntt Software Corp | Content providing apparatus |
JP2008287697A (en) * | 2007-04-16 | 2008-11-27 | Sony Corp | Voice chat system, information processor, and program |
CN204706208U (en) * | 2015-06-30 | 2015-10-14 | 广州绿松生物科技有限公司 | Intelligence children education robot |
WO2018058612A1 (en) * | 2016-09-30 | 2018-04-05 | 深圳市华傲数据技术有限公司 | Configuration method and system |
CN108257597A (en) * | 2017-12-28 | 2018-07-06 | 合肥凯捷技术有限公司 | A kind of audio retrieval system based on speech recognition |
CN108305626A (en) * | 2018-01-31 | 2018-07-20 | 百度在线网络技术(北京)有限公司 | The sound control method and device of application program |
CN110322880A (en) * | 2018-03-28 | 2019-10-11 | 上海博泰悦臻网络技术服务有限公司 | Vehicle-mounted terminal equipment and the method for waking up its multiple interactive voice program |
CN108597510A (en) * | 2018-04-11 | 2018-09-28 | 上海思依暄机器人科技股份有限公司 | a kind of data processing method and device |
CN108845797A (en) * | 2018-06-28 | 2018-11-20 | 深圳市乾乾编程科技有限公司 | A kind of speech recognition type programmed method, device and computer equipment |
Also Published As
Publication number | Publication date |
---|---|
CN111176618A (en) | 2020-05-19 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US7606714B2 (en) | Natural language classification within an automated response system | |
US7907705B1 (en) | Speech to text for assisted form completion | |
US9558183B2 (en) | System and method for the localization of statistical classifiers based on machine translation | |
CN111489748A (en) | Intelligent voice scheduling auxiliary system | |
US11031009B2 (en) | Method for creating a knowledge base of components and their problems from short text utterances | |
US20130262106A1 (en) | Method and system for automatic domain adaptation in speech recognition applications | |
CN109922213A (en) | Data processing method, device, storage medium and terminal device when voice is seeked advice from | |
CN103246645A (en) | Translation method and translation system | |
CN109740053A (en) | Sensitive word screen method and device based on NLP technology | |
CN105469789A (en) | Voice information processing method and voice information processing terminal | |
KR20120004151A (en) | Apparatus for sentence translation and method thereof | |
CN111627446A (en) | Communication conference system based on intelligent voice recognition technology | |
CN111176618B (en) | Method and system for developing program by voice wakeup | |
Suendermann | Advances in commercial deployment of spoken dialog systems | |
US11941414B2 (en) | Unstructured extensions to rpa | |
CN112087726B (en) | Method and system for identifying polyphonic ringtone, electronic equipment and storage medium | |
CN109147792A (en) | A kind of voice resume system | |
CN117634471A (en) | NLP quality inspection method and computer readable storage medium | |
CN116705003A (en) | Voice work order quality inspection method, device, equipment and medium based on artificial intelligence | |
US8694309B1 (en) | Automatic speech recognition tuning management | |
Wray et al. | Best practices for crowdsourcing dialectal arabic speech transcription | |
US8051026B2 (en) | Rules collector system and method with user interaction | |
CN113555011A (en) | Electric power industry customer service center voice translation modeling method, system and medium | |
CN112667798A (en) | Call center language processing method and system based on AI | |
KR20210056085A (en) | Customer Consultation Summary Apparatus and Method |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |