CN106874185A - A kind of automated testing method driven based on voiced keyword and system - Google Patents
A kind of automated testing method driven based on voiced keyword and system Download PDFInfo
- Publication number
- CN106874185A CN106874185A CN201611226546.4A CN201611226546A CN106874185A CN 106874185 A CN106874185 A CN 106874185A CN 201611226546 A CN201611226546 A CN 201611226546A CN 106874185 A CN106874185 A CN 106874185A
- Authority
- CN
- China
- Prior art keywords
- keyword
- instruction
- tone testing
- module
- tone
- 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.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/36—Preventing errors by testing or debugging software
- G06F11/3668—Software testing
- G06F11/3672—Test management
- G06F11/3684—Test management for test design, e.g. generating new test cases
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/36—Preventing errors by testing or debugging software
- G06F11/3668—Software testing
- G06F11/3672—Test management
- G06F11/3688—Test management for test execution, e.g. scheduling of test suites
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Computer Hardware Design (AREA)
- Quality & Reliability (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Debugging And Monitoring (AREA)
Abstract
The invention discloses a kind of automated testing method driven based on voiced keyword and system, method includes:S1. set of keywords is built according to tested software and testing tool;S2. tone testing instruction is obtained;S3. tone testing instruction is matched with the set of keywords, is recognized the keyword in the tone testing instruction;S4. automatic test cases are generated according to the keyword, execution is tested and outputed test result.System includes:Voice typing module, tone testing instruction identification module and automatic test module.The present invention has flexible, and testing efficiency is high, time cost and the low advantage of human cost.
Description
Technical field
The present invention relates to a kind of automatic test technology field, more particularly to a kind of automation driven based on voiced keyword
Method of testing and system.
Background technology
In order to improve testing efficiency and accuracy, increasing test job introduces thought and the side of automatic test
Method, with the development of automated test tool, automatic test is more prone to realize more efficient.It was verified that software automation
Measuring technology helper applications are developed and tester develops higher-quality product within the shorter time, frequent by replacing
The manual test for repeating is so as to save substantial amounts of time spending.Meanwhile, automatization testing technique it also avoid manual test and go out
Existing mistake, completes the work that many manual tests cannot be realized.
Automatic test has many obvious advantages compared to manual test, but automatic test there is also some simultaneously
Limitation.Simple this province of recording/replaying testing tool cannot provide efficient test.Needed by the maintenance for catching generation script
Take a substantial amount of time.In the stage of the unstable or frequent variation of the page in project demands, the efficiency of automatic test will be very low
Under.In face of this embarrassment of automatic test, the automatic test of crucial word drive can effectively improve automatic test script
Maintenance efficiency.The automatic test of crucial word drive has built an automated test frame, test frame script and business,
Data separating, saves a large amount of maintenance works to script.
Although using the automatic test of crucial word drive, improve testing efficiency.But building automatic test script
When still need typewriting input keyword, or pulled into from library of object object formed test script, automatic test could be started, make
Tester cannot be broken away to test ground territory restriction, flexibility is weaker, also add the time cost of test and manpower into
This.
The application for a patent for invention of Publication No. 105068927A is the background technology file of the application.
The content of the invention
The technical problem to be solved in the present invention is that:For the technical problem that prior art is present, the present invention provides one
Kind flexible, testing efficiency is high, time cost and the low automatic test side driven based on voiced keyword of human cost
Method and system.
In order to solve the above technical problems, technical scheme proposed by the present invention is:It is a kind of based on voiced keyword drive from
Dynamicization method of testing, comprises the following steps:
S1. set of keywords is built according to tested software and testing tool;
S2. tone testing instruction is obtained;
S3. tone testing instruction is matched with the set of keywords, is recognized the key in the tone testing instruction
Word;
S4. automatic test cases are generated according to the keyword, execution is tested and outputed test result.
As a further improvement on the present invention, the keyword in the set of keywords in the step S1 includes the object to be operated
Keyword, operation keyword and value keyword.
As a further improvement on the present invention, the specific steps of the step S2 include:Voice signal is obtained, eliminates described
The noise jamming of voice signal, the tone testing extracted by end-point detection method in the voice signal is instructed.
As a further improvement on the present invention, the tone testing is instructed and the pass using DTW algorithms in step S3
Key word collection is matched, and recognizes the keyword in the tone testing instruction.
As a further improvement on the present invention, in the step S1, also including the sound characteristic sample of structure user
Storehouse.
As a further improvement on the present invention, after the step S2, also including step S2a. by the tone testing
Instruction matched with the sound characteristic Sample Storehouse of the user, the match is successful then judges tone testing instruct the person of sending as
User is had permission, step S3 is jumped to;The person of sending for otherwise judging tone testing instruction is lack of competence user, stops the language
The subsequent execution of sound test instruction.
A kind of automatization test system driven based on voiced keyword, including voice typing module, tone testing instruction
Identification module and automatic test module;
The voice typing module is used for voice of the typing comprising tone testing instruction, and sends to tone testing instruction identification mould
Block;
The tone testing instruction identification module is used to extract tone testing instruction from the voice, recognizes the tone testing
Keyword in instruction, and the keyword is sent to the automatic test module;
The automatic test module is used to generate automatic test cases according to the keyword, and execution is tested and exports test knot
Really.
As a further improvement on the present invention, the tone testing instruction identification module includes set of keywords module, voice
Test instruction extraction module, identification matching module;
The tone testing instruction extraction module is used to eliminate the noise jamming of the voice signal, is extracted by end-point detection method
Tone testing instruction in the voice signal;
The set of keywords module is used to be built previously according to tested software and testing tool for the identification matching module is provided
Set of keywords;
The identification matching module is used to be matched tone testing instruction with the set of keywords, recognizes the voice
Keyword in test instruction.
As a further improvement on the present invention, the tone testing instruction identification module also include sound characteristic Sample Storehouse and
Access right determination module;
The sound characteristic Sample Storehouse is used for the phonetic feature sample of the user for storing advance structure;
The access right determination module is used to enter tone testing instruction with the sound characteristic Sample Storehouse of the user
Row matching, the match is successful then judges the person of sending of tone testing instruction as user is had permission;Otherwise judge tone testing instruction
The person of sending be lack of competence user, stop the tone testing instruction subsequent execution.
As a further improvement on the present invention, the voice typing module is instructed by wireless network with the tone testing
Identification module is connected.
Compared with prior art, the advantage of the invention is that:
1st, the present invention carries out the function of automatic test by the keyword of speech recognition, and key is manually entered without tester
Word so that more flexibly, testing efficiency is higher, reduces the human cost and time cost of test for test.
2nd, by the present invention in that the sound characteristic Sample Storehouse of user carries out identities match, it is ensured that test process is by with mandate
User start, it is ensured that the security of test process.
3rd, the present invention can realize being tested by remote speech identification of function keyword-driven automation, exist without tester
Laboratory scene carries out manpower and sets test script, had not only facilitated the operation of experimenter but also had saved the time.
Brief description of the drawings
Fig. 1 is the schematic flow sheet of the specific embodiment of the invention.
Fig. 2 is the structural representation of the specific embodiment of the invention.
Fig. 3 is DTW algorithm search path schematic diagrams.
Specific embodiment
Below in conjunction with Figure of description and specific preferred embodiment, the invention will be further described, but not therefore and
Limit the scope of the invention.
As shown in figure 1, the automated testing method driven based on voiced keyword of the present embodiment, is comprised the following steps:
S1. set of keywords is built according to tested software and testing tool;S2. tone testing instruction is obtained;S3. tone testing is referred to
Order is matched with set of keywords, the keyword in identification tone testing instruction;S4. automatic test is generated according to keyword
Use-case, execution is tested and outputed test result.
In the present embodiment, test logic is decomposed in keyword-driven automation test according to keyword, forms number
According to file, the service logic of keyword correspondence encapsulation.The keyword in set of keywords in step S1 is closed including the object to be operated
Key word, operation keyword and value keyword.The corresponding parameter according to different objects can also be included.The structure root of set of keywords
Demand according to disparity items is different, but can all carry out abstract extraction according to general rule, can be according to actual conditions
Supplement is perfect.Below be only the present embodiment in keyword-extraction rules for example, and the present embodiment is not merely limited
In the keyword-extraction rules of act set forth below.1:Before keyword is extracted, requirement documents are first analyzed, list and likely related to
Test point and test-types.2:Object to be operated keyword is essentially from measurand, testing tool and test equipment etc..
3:Operation keyword is the description of the behavior that correspondence special object is carried out, and should catch clearly specific action message.4:Carry
The keyword for taking must with automation tools recognize object oriented connect, be instrument can be accurately positioned and manipulate it is right
As.5:The criterion that keyword extraction is finished is each test point for the demand that completely covers.The keyword for being extracted can
The possible caused sentence meaning of the change of one wordThe difference lies in a single word distinguished in similar sentence is different, and such as speed increases by 10 kilometers and increased to speed per hour
10 kilometers per hour.
In the present embodiment, the specific steps of step S2 include:Voice signal is obtained, the noise for eliminating voice signal is done
Disturb, the tone testing extracted by end-point detection method in voice signal is instructed.In due to the voice signal of acquisition, inevitably
Ambient noise can be included, and ambient noise and interference can have a strong impact on to speech recognition, cause discrimination low, therefore to language
Before message number is identified, it is necessary to which raw tone is processed, the influence that noise and different speakers bring is partially removed, made
Signal after treatment can more reflect the substantive characteristics of voice.In the present embodiment, also using end-point detection method in voice signal
Voice and the non-speech audio period(Such as ambient noise)Separate, accurately determine out the starting point of voice signal, to obtain
Obtain accurately identification and premise is provided.Conventional end-point detecting method has zero-crossing rate and several away from energy etc. in short-term.In the present embodiment
In, by using Wiener filtering after end-point detection, eliminate partial noise, the signal that extraction is polluted by stationary noise.
In the present embodiment, DTW is used in step S3(Dynamic Time Warping, dynamic time warping)Algorithm will
Tone testing instruction is matched with set of keywords, the keyword in identification tone testing instruction.For alone word or
Detected in continuous speech known some keywords wherein occur, it is necessary to the characteristic vector that tone testing is instructed successively with pass
Each keyword that key word is concentrated carries out similarity-rough set, is exported similarity highest keyword as recognition result.At this
In embodiment, DTW arthmetic statements are:Each template in the phonetic feature ATL of keyword is referred to as reference template by system,
Represented with R;Input voice to be identified is referred to as by the feature vector sequence obtained after pretreatment and feature extraction
Test template, is represented with r, then reference template is represented by R={ R(1), R(2)... ..., R(m)... ..., R(M), wherein M is
The speech frame sum that reference template is included, m is the sequential label of speech frame, R(m)It is the speech characteristic vector of m frames.Test
Template is represented by T={ T(1), T(2)... ..., T(n)... ..., T(N), wherein n is the sequential label of tested speech frame, N
It is the speech frame sum that the template is included, T(n)It is the speech characteristic vector of n-th frame.Reference template is typically adopted with test template
With the characteristic vector of same type(Such as MFCC, LPC coefficient), identical frame length, identical window function and identical frame move.
In order to compare the similarity between T and R, can by calculating them between apart from D [T, R], apart from smaller then phase
It is higher like degree, generally using Dynamic Programming(DP)Method.If each frame number n=1 ~ N of test template at a two-dimentional right angle
Marked on transverse axis in coordinate system, each frame number m=1 ~ M of reference template is marked on the longitudinal axis, the whole of frame number is represented by these
Number coordinate forms a network, each crosspoint in network by drawing some co-ordinations(N, m)In expression test pattern
The joint of a certain frame.DP algorithm can be attributed to finds a path by some lattice points in this network, what path passed through
Lattice point is the frame number calculated in test and reference template.Because the precedence of each several part of any voice can not
Can change, therefore selected path must be terminated, as shown in Figure 3 from the lower left corner in the upper right corner.In order to describe this road
Footpath, it is assumed that all lattice points that path passes through are followed successively by(N1, m1)... ...,(Ni, mj)... ...,(NN, mM), wherein(n1
, m1)=(1,1),(NN, mM)=(N, M).In order that path was unlikely to inclination, scope of the slope 0.5 ~ 2 can be constrained
It is interior, if path has already been through lattice point(N, m), then next lattice point for passing through(N, m)It is following three to be only possible to
One of situation:
(N, m)=(N+1, m)
(N, m)=(N+1, m+1)
(N, m)=(N, m+1)
Above three constraints is represented with r.Seeking the problem of optimal path can be attributed to when meeting constraints r, ask optimal
Path function m=s Ø(n )So that minimum value is reached along the accumulation distance in path, i.e.,:
The method for searching for the path is as follows:Search from(N, m)Point sets out, and can launch some paths of satisfaction, it is assumed that can
Calculate and reached per paths(N, m)Total accumulation distance during point, optimal path is with minimum Cumulative Distance person.It is easy to
Prove, limit any lattice point of scope(N, m)A searching route has been only possible to pass through.For(Ni, mi), it can reach this
The previous lattice point of lattice point is only possible to(N, m)、(N, m -1)With(N, m -2), then(N, m)Necessarily select this 3
Apart from path extend through(N, m), at this moment the accumulation distance in this path be:
D[(N, m)]=d [T (n), R (m)]+min { D (n+1, m), D (n+1, m+1), D (n, m+1) }
So can be from(N, m)=(1,1)Set out search(N, m), to each(N, m)Corresponding distance is all stored, this
Individual distance is the lattice point of the matching distance with previous cumulative distance minimum of current lattice point(According to the slope of setting in three lattice points
In be compared).Search(N, m)When, only retain an optimal path.If necessary, sought forward by pointwise
Looking for can be in the hope of whole piece path.In the present embodiment, DTW algorithms can realize directly by being described above, that is, distribute two N
The matrix of × M, respectively accumulates Distance matrix D and frame matching distance matrix d, wherein frame matching distance matrix d(I, j)Value be
The distance of the i-th frame of test template and the jth interframe of reference template.D(N, M)Matching as corresponding to best matching path away from
From.
In the present embodiment, in step sl, also including the sound characteristic Sample Storehouse of structure user.Step S2 it
Afterwards, tone testing instruction is matched with the sound characteristic Sample Storehouse of user including step S2a. also, the match is successful then sentences
The person of sending of tone testing instruction is determined to have permission user, jumps to step S3;Otherwise judge sending for tone testing instruction
Person is lack of competence user, stops the subsequent execution of tone testing instruction.Sound characteristic Sample Storehouse is used to judge to be input into language
The source identity of sound test instruction.The sound of all testers is recorded first, and extracts sound characteristic parameter, preserve sound special
Sample is levied, the sound characteristic sample of all testers is pre-stored in calculation machine, generate a sound characteristic Sample Storehouse.
When there is tone testing instruction input, by all of sound characteristic sample in the sound characteristic parameter of input source and Sample Storehouse one by one
Compare, judge whether the person of sending that the tone testing is instructed is to have permission user according to comparison result, so as to ensure to survey
The security of examination.Can be using the side such as sound frequency of prior art with matching for sound characteristic Sample Storehouse to tone testing instruction
Method.
As shown in Fig. 2 the automatization test system driven based on voiced keyword of the present embodiment, including voice typing mould
Block, tone testing instruction identification module and automatic test module;Voice typing module is used for typing and includes tone testing instruction
Voice, and send to tone testing instruction identification module;Tone testing instruction identification module is used to extract voice survey from voice
Examination instruction, the keyword in identification tone testing instruction, and keyword is sent to automatic test module;Automatic test module is used
In automatic test cases are generated according to keyword, execution is tested and outputed test result.
In the present embodiment, tone testing instruction identification module includes that set of keywords module, tone testing instruction extract mould
Block, identification matching module;Tone testing instruction extraction module is used to eliminate the noise jamming of voice signal, by end-point detection method
Extract the tone testing instruction in voice signal;Set of keywords module is used to be provided previously according to tested soft for identification matching module
Part and testing tool build set of keywords;Identification matching module is used to be matched tone testing instruction with set of keywords, knows
Keyword in other tone testing instruction.
In the present embodiment, tone testing instruction identification module also includes that sound characteristic Sample Storehouse and access right judge mould
Block;Sound characteristic Sample Storehouse is used for the phonetic feature sample of the user for storing advance structure;Access right determination module is used for
Tone testing instruction is matched with the sound characteristic Sample Storehouse of user, the match is successful then judges the hair that tone testing is instructed
The person of going out is to have permission user;The person of sending for otherwise judging tone testing instruction is lack of competence user, stops the tone testing
The subsequent execution of instruction.In the present embodiment, voice typing module is connected by wireless network with tone testing instruction identification module
Connect.Tone testing is instructed by wireless network is sent to tone testing instruction identification module, test operator no longer office can be made
It is limited to that test job must be carried out in test site, flexibility ratio is higher.
Above-mentioned simply presently preferred embodiments of the present invention, not makees any formal limitation to the present invention.Although of the invention
It is disclosed above with preferred embodiment, but it is not limited to the present invention.Therefore, it is every without departing from technical solution of the present invention
Content, according to the technology of the present invention essence to any simple modification, equivalent variation and modification made for any of the above embodiments, all should fall
In the range of technical solution of the present invention protection.
Claims (10)
1. it is a kind of based on voiced keyword drive automated testing method, it is characterised in that comprise the following steps:
S1. set of keywords is built according to tested software and testing tool;
S2. tone testing instruction is obtained;
S3. tone testing instruction is matched with the set of keywords, is recognized the key in the tone testing instruction
Word;
S4. automatic test cases are generated according to the keyword, execution is tested and outputed test result.
2. it is according to claim 1 based on voiced keyword drive automated testing method, it is characterised in that:The step
The keyword in set of keywords in rapid S1 includes object to be operated keyword, operation keyword and value keyword.
3. it is according to claim 2 based on voiced keyword drive automated testing method, it is characterised in that:The step
The specific steps of rapid S2 include:Voice signal is obtained, the noise jamming of the voice signal is eliminated, is extracted by end-point detection method
Tone testing instruction in the voice signal.
4. it is according to claim 2 based on voiced keyword drive automated testing method, it is characterised in that:Step S3
Middle use DTW algorithms are matched tone testing instruction with the set of keywords, in recognizing that the tone testing is instructed
Keyword.
5. the automated testing method driven based on voiced keyword according to any one of Claims 1-4, its feature exists
In:In the step S1, also including the sound characteristic Sample Storehouse of structure user.
6. it is according to claim 5 based on voiced keyword drive automated testing method, it is characterised in that:Described
After step S2, tone testing instruction is carried out with the sound characteristic Sample Storehouse of the user including step S2a. also
Matching, the match is successful then judges that the person of sending of tone testing instruction, as user is had permission, jumps to step S3;Otherwise judge language
The person of sending of sound test instruction is lack of competence user, stops the subsequent execution of tone testing instruction.
7. it is a kind of based on voiced keyword drive automatization test system, it is characterised in that:Including voice typing module, voice
Test instruction identification module and automatic test module;
The voice typing module is used for voice of the typing comprising tone testing instruction, and sends to tone testing instruction identification mould
Block;
The tone testing instruction identification module is used to extract tone testing instruction from the voice, recognizes the tone testing
Keyword in instruction, and the keyword is sent to the automatic test module;
The automatic test module is used to generate automatic test cases according to the keyword, and execution is tested and exports test knot
Really.
8. it is according to claim 7 based on voiced keyword drive automatization test system, it is characterised in that:Institute's predicate
Sound test instruction identification module includes set of keywords module, tone testing instruction extraction module, identification matching module;
The tone testing instruction extraction module is used to eliminate the noise jamming of the voice signal, is extracted by end-point detection method
Tone testing instruction in the voice signal;
The set of keywords module is used to be built previously according to tested software and testing tool for the identification matching module is provided
Set of keywords;
The identification matching module is used to be matched tone testing instruction with the set of keywords, recognizes the voice
Keyword in test instruction.
9. it is according to claim 8 based on voiced keyword drive automatization test system, it is characterised in that:Institute's predicate
Sound test instruction identification module also includes sound characteristic Sample Storehouse and access right determination module;
The sound characteristic Sample Storehouse is used for the phonetic feature sample of the user for storing advance structure;
The access right determination module is used to enter tone testing instruction with the sound characteristic Sample Storehouse of the user
Row matching, the match is successful then judges the person of sending of tone testing instruction as user is had permission;Otherwise judge tone testing instruction
The person of sending be lack of competence user, stop the tone testing instruction subsequent execution.
10. according to any one of claim 7 to 9 based on voiced keyword drive automatization test system, its feature
It is:The voice typing module is connected by wireless network with the tone testing instruction identification module.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201611226546.4A CN106874185A (en) | 2016-12-27 | 2016-12-27 | A kind of automated testing method driven based on voiced keyword and system |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201611226546.4A CN106874185A (en) | 2016-12-27 | 2016-12-27 | A kind of automated testing method driven based on voiced keyword and system |
Publications (1)
Publication Number | Publication Date |
---|---|
CN106874185A true CN106874185A (en) | 2017-06-20 |
Family
ID=59164980
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201611226546.4A Pending CN106874185A (en) | 2016-12-27 | 2016-12-27 | A kind of automated testing method driven based on voiced keyword and system |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN106874185A (en) |
Cited By (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107516510A (en) * | 2017-07-05 | 2017-12-26 | 百度在线网络技术(北京)有限公司 | A kind of smart machine automated voice method of testing and device |
CN108206981A (en) * | 2017-12-29 | 2018-06-26 | 歌尔科技有限公司 | Pickup test method and equipment |
CN108399131A (en) * | 2018-03-13 | 2018-08-14 | 百度在线网络技术(北京)有限公司 | Automatic test cases generation method and device |
CN109309601A (en) * | 2018-10-18 | 2019-02-05 | 北京新能源汽车股份有限公司 | A kind of gateway test macro and method |
CN110265049A (en) * | 2019-05-27 | 2019-09-20 | 重庆高开清芯科技产业发展有限公司 | A kind of audio recognition method and speech recognition system |
US20200118546A1 (en) * | 2018-10-10 | 2020-04-16 | International Business Machines Corporation | Voice controlled keyword generation for automated test framework |
CN111142410A (en) * | 2018-11-02 | 2020-05-12 | 中车株洲电力机车研究所有限公司 | Control method and system for automatic and orderly starting and stopping according to test requirements |
CN111458579A (en) * | 2020-03-23 | 2020-07-28 | 朔黄铁路发展有限责任公司 | Electrical test apparatus, electrical test method, electrical test device, electrical test apparatus, and storage medium |
CN112346957A (en) * | 2019-08-07 | 2021-02-09 | 上海沃尔沃汽车研发有限公司 | Automatic test equipment and method for vehicle-mounted voice system |
CN112925701A (en) * | 2019-12-06 | 2021-06-08 | 北京车和家信息技术有限公司 | Test case editing method, vehicle testing method and device |
CN113391994A (en) * | 2021-03-09 | 2021-09-14 | 深圳市星锐游戏有限公司 | Mobile phone software automatic testing method based on Unity platform |
CN113515454A (en) * | 2021-07-01 | 2021-10-19 | 深圳创维-Rgb电子有限公司 | Test case generation method, device, equipment and storage medium |
Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101751290A (en) * | 2009-10-23 | 2010-06-23 | 金蝶软件(中国)有限公司 | Method, device and ERP system for calling functional modules |
CN102629246A (en) * | 2012-02-10 | 2012-08-08 | 北京百纳信息技术有限公司 | Server used for recognizing browser voice commands and browser voice command recognition system |
CN103366740A (en) * | 2012-03-27 | 2013-10-23 | 联想(北京)有限公司 | Voice command recognition method and voice command recognition device |
CN105224448A (en) * | 2014-06-25 | 2016-01-06 | 腾讯科技(深圳)有限公司 | The method and apparatus of record test scene |
CN105577301A (en) * | 2015-09-28 | 2016-05-11 | 宇龙计算机通信科技(深圳)有限公司 | Test method and detection terminal |
CN105717390A (en) * | 2016-01-28 | 2016-06-29 | 东南大学 | Cloud platform based testing platform and method for intelligent transformer station |
JP2016191740A (en) * | 2015-03-30 | 2016-11-10 | 株式会社エヌ・ティ・ティ・データ | Speech processing unit, speech processing method, and program |
-
2016
- 2016-12-27 CN CN201611226546.4A patent/CN106874185A/en active Pending
Patent Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101751290A (en) * | 2009-10-23 | 2010-06-23 | 金蝶软件(中国)有限公司 | Method, device and ERP system for calling functional modules |
CN102629246A (en) * | 2012-02-10 | 2012-08-08 | 北京百纳信息技术有限公司 | Server used for recognizing browser voice commands and browser voice command recognition system |
CN103366740A (en) * | 2012-03-27 | 2013-10-23 | 联想(北京)有限公司 | Voice command recognition method and voice command recognition device |
CN105224448A (en) * | 2014-06-25 | 2016-01-06 | 腾讯科技(深圳)有限公司 | The method and apparatus of record test scene |
JP2016191740A (en) * | 2015-03-30 | 2016-11-10 | 株式会社エヌ・ティ・ティ・データ | Speech processing unit, speech processing method, and program |
CN105577301A (en) * | 2015-09-28 | 2016-05-11 | 宇龙计算机通信科技(深圳)有限公司 | Test method and detection terminal |
CN105717390A (en) * | 2016-01-28 | 2016-06-29 | 东南大学 | Cloud platform based testing platform and method for intelligent transformer station |
Cited By (16)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107516510B (en) * | 2017-07-05 | 2020-12-18 | 百度在线网络技术(北京)有限公司 | Automatic voice testing method and device for intelligent equipment |
CN107516510A (en) * | 2017-07-05 | 2017-12-26 | 百度在线网络技术(北京)有限公司 | A kind of smart machine automated voice method of testing and device |
CN108206981A (en) * | 2017-12-29 | 2018-06-26 | 歌尔科技有限公司 | Pickup test method and equipment |
CN108399131A (en) * | 2018-03-13 | 2018-08-14 | 百度在线网络技术(北京)有限公司 | Automatic test cases generation method and device |
US20200118546A1 (en) * | 2018-10-10 | 2020-04-16 | International Business Machines Corporation | Voice controlled keyword generation for automated test framework |
US10878804B2 (en) * | 2018-10-10 | 2020-12-29 | International Business Machines Corporation | Voice controlled keyword generation for automated test framework |
CN109309601A (en) * | 2018-10-18 | 2019-02-05 | 北京新能源汽车股份有限公司 | A kind of gateway test macro and method |
CN111142410A (en) * | 2018-11-02 | 2020-05-12 | 中车株洲电力机车研究所有限公司 | Control method and system for automatic and orderly starting and stopping according to test requirements |
CN110265049A (en) * | 2019-05-27 | 2019-09-20 | 重庆高开清芯科技产业发展有限公司 | A kind of audio recognition method and speech recognition system |
CN112346957A (en) * | 2019-08-07 | 2021-02-09 | 上海沃尔沃汽车研发有限公司 | Automatic test equipment and method for vehicle-mounted voice system |
CN112346957B (en) * | 2019-08-07 | 2023-12-05 | 上海沃尔沃汽车研发有限公司 | Automatic test equipment and method for vehicle-mounted voice system |
CN112925701A (en) * | 2019-12-06 | 2021-06-08 | 北京车和家信息技术有限公司 | Test case editing method, vehicle testing method and device |
CN112925701B (en) * | 2019-12-06 | 2024-04-19 | 北京车和家信息技术有限公司 | Test case editing method, vehicle testing method and device |
CN111458579A (en) * | 2020-03-23 | 2020-07-28 | 朔黄铁路发展有限责任公司 | Electrical test apparatus, electrical test method, electrical test device, electrical test apparatus, and storage medium |
CN113391994A (en) * | 2021-03-09 | 2021-09-14 | 深圳市星锐游戏有限公司 | Mobile phone software automatic testing method based on Unity platform |
CN113515454A (en) * | 2021-07-01 | 2021-10-19 | 深圳创维-Rgb电子有限公司 | Test case generation method, device, equipment and storage medium |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN106874185A (en) | A kind of automated testing method driven based on voiced keyword and system | |
CN106228980B (en) | Data processing method and device | |
US10074363B2 (en) | Method and apparatus for keyword speech recognition | |
CN106297776B (en) | A kind of voice keyword retrieval method based on audio template | |
EP1800293B1 (en) | Spoken language identification system and methods for training and operating same | |
US8249870B2 (en) | Semi-automatic speech transcription | |
CN106611604B (en) | Automatic voice superposition detection method based on deep neural network | |
CN107305541A (en) | Speech recognition text segmentation method and device | |
CN109902957B (en) | Data processing method and device | |
CN112259104B (en) | Training device for voiceprint recognition model | |
CN104464755B (en) | Speech evaluating method and device | |
CN105895078A (en) | Speech recognition method used for dynamically selecting speech model and device | |
CN107871499A (en) | Audio recognition method, system, computer equipment and computer-readable recording medium | |
CN110797032B (en) | Voiceprint database establishing method and voiceprint identification method | |
CN112259083B (en) | Audio processing method and device | |
KR102343407B1 (en) | Apparatus or Method for Detecting Meaningful Intervals using voice and video information | |
KR101317339B1 (en) | Apparatus and method using Two phase utterance verification architecture for computation speed improvement of N-best recognition word | |
CN105869628A (en) | Voice endpoint detection method and device | |
CN106782517A (en) | A kind of speech audio keyword filter method and device | |
KR20160059265A (en) | Method And Apparatus for Learning Acoustic Model Considering Reliability Score | |
US7650281B1 (en) | Method of comparing voice signals that reduces false alarms | |
CN111128128A (en) | Voice keyword detection method based on complementary model scoring fusion | |
Yarra et al. | Automatic detection of syllable stress using sonority based prominence features for pronunciation evaluation | |
CN108364655A (en) | Method of speech processing, medium, device and computing device | |
CN105244024B (en) | A kind of audio recognition method and device |
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 | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20170620 |
|
RJ01 | Rejection of invention patent application after publication |