CN109979434A - The test method of local voice mould set product acoustical behavior - Google Patents

The test method of local voice mould set product acoustical behavior Download PDF

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Publication number
CN109979434A
CN109979434A CN201910358064.1A CN201910358064A CN109979434A CN 109979434 A CN109979434 A CN 109979434A CN 201910358064 A CN201910358064 A CN 201910358064A CN 109979434 A CN109979434 A CN 109979434A
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CN
China
Prior art keywords
voice mould
digital signal
acoustical behavior
test method
standard
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Pending
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CN201910358064.1A
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Chinese (zh)
Inventor
张飞
何云鹏
高君效
刘兵
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Chengdu Leader Technology Co Ltd
Chipintelli Technology Co Ltd
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Chengdu Leader Technology Co Ltd
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Application filed by Chengdu Leader Technology Co Ltd filed Critical Chengdu Leader Technology Co Ltd
Priority to CN201910358064.1A priority Critical patent/CN109979434A/en
Publication of CN109979434A publication Critical patent/CN109979434A/en
Pending legal-status Critical Current

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    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00Speech recognition
    • G10L15/01Assessment or evaluation of speech recognition systems
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00Speech recognition
    • G10L15/22Procedures used during a speech recognition process, e.g. man-machine dialogue
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00Speech recognition
    • G10L15/28Constructional details of speech recognition systems

Abstract

A kind of test method of local voice mould set product acoustical behavior, includes the following steps: S1;Benchmark digital signal A1 is converted by fixed algorithm by analog audio signal A0;The fixed algorithm is analytical algorithm of the voice mould group to analog audio signal;S2;Analog audio signal A0 is inputted into voice mould group to be measured, voice mould group to be measured converts analog audio signal to and compares digital signal A2;S3;Benchmark digital signal A1 is compared with digital signal A2 is compared, judges that the acoustical behavior of voice mould group to be measured is up to standard if the two similarity reaches standard, it is otherwise not up to standard.Using the test method of local voice mould set product acoustical behavior of the present invention, it can fast and accurately judge that whether qualified the acoustical behavior of voice mould group is up to standard, the step process for reducing the test of mould group accelerates the time of mould group test, improves mould group testing efficiency.

Description

The test method of local voice mould set product acoustical behavior
Technical field
The invention belongs to field of artificial intelligence, are related to speech recognition technology, and in particular to a kind of local voice mould group The test method of product acoustical behavior.
Background technique
Speech recognition at present is widely used in each electronic product as a kind of common human-computer interaction technology, with Its naturally convenient interactive mode has received liking for consumer, has been increasingly becoming the mainstream interactive controlling side in intellectual product epoch Formula.
Speech recognition has a two class modes at present, and one kind is online free intercommunication mode, user using when can arbitrarily say Words, collect user's speech content by product facility, upload to cloud server by network and carry out semantic analysis understanding, parsing The purpose of user out, then progress corresponding operation control, this mode advantage in product facility are passed to by network and are user It can freely talk, relatively daily life is accustomed to, but disadvantage is that network could use, and because being related to need Voice data is uploaded, safety is poor, and in addition network has delay, and the product of Network Recognition needs to wait the knot of Network Recognition Fruit needs the time spent with regard to more.
The shortcomings that in view of aforesaid way, the equipment such as current many functional product facilities such as air-conditioning, smoke exhaust ventilator are all By the way of another kind of speech recognition, i.e., by the identification of offline voice control command word, carry out the function of product facility Can control, such mode has many advantages, such as fast response time without using network, control it is simple, but need language has been previously set Sound control command word, product facility can just respond after need to recognizing complete voice control command word, and set in actual product It is the test of discrimination to the test mode of local voice mould set product acoustical behavior in standby application environment, this test method is deposited The drawbacks such as not rigorous in standard, environment setting is complicated, and there are many time consumption.
Summary of the invention
To overcome technological deficiency of the existing technology, the invention discloses a kind of local voice mould set product acoustical behavioies Test method.
The test method of local voice mould set product acoustical behavior of the present invention, includes the following steps:
S1;Benchmark digital signal A1 is converted by fixed algorithm by analog audio signal A0;The fixed algorithm is voice mould Analytical algorithm of the group to analog audio signal;
S2;Analog audio signal A0 is inputted into voice mould group to be measured, analog audio signal is converted comparison by voice mould group to be measured Digital signal A2;
S3;Benchmark digital signal A1 is compared with digital signal A2 is compared, judge if the two similarity reaches standard to The acoustical behavior for surveying voice mould group is up to standard, otherwise not up to standard.
Preferably, the benchmark digital signal A1 and to compare digital signal A2 be standard iis digital signal.
Further, the clock frequency for being converted to standard iis digital signal is 1Mhz;Left and right alignment clock is 16Khz.
Preferably, the analog audio signal A0 is fixed frequency response curve.
Further: the analog audio signal A0 is frequency 1k hertz, the sine wave of amplitude 1V.
Preferably, the way of contrast in the step S3 is the monocycle pair that the clock cycle one by one is chronologically carried out to signal Than being judged whether according to the ratio that the same period quantity detected accounts for complete signal clock cycle number up to standard.
Further, the concrete mode of the monocycle comparison are as follows: take N number of different time points within the monocycle, be greater than door The time point of limit value, upper voltage value was identical, then thought that signal is identical in the period.
Using the test method of local voice mould set product acoustical behavior of the present invention, can fast and accurately judge Whether the acoustical behavior of voice mould group is qualified up to standard, reduces the step process of mould group test, accelerates the time of mould group test, Mould group testing efficiency is improved, the testing cost of mould group is reduced, the equipment test in the identification of all native languages can be applied In method, play a role in promoting to popularizing for voice artificial intelligence.
Detailed description of the invention
Fig. 1 is a kind of exemplary embodiment flow chart of the present invention;
Fig. 2 is the schematic diagram that each waveform signal of the present invention compares;Abscissa is the time in Fig. 2, and ordinate is voltage.
Specific embodiment
Specific embodiments of the present invention will be described in further detail with reference to the accompanying drawing.
The test method of local voice mould set product acoustical behavior of the present invention, includes the following steps:
S1;Benchmark digital signal A1 is converted by fixed algorithm by analog audio signal A0;The fixed algorithm is voice mould Analytical algorithm of the group to analog audio signal;
S2;Analog audio signal A0 is inputted into voice mould group to be measured, analog audio signal is converted comparison by voice mould group to be measured Digital signal A2;
S3;Benchmark digital signal A1 is compared with digital signal A2 is compared, judge if the two similarity reaches standard to The acoustical behavior for surveying voice mould group is up to standard, otherwise not up to standard.
A more typical analog audio signal A0 is provided as shown in Figure 2, A0 is sine wave signal, is by fixed algorithm After the signal method for transformation that the normal voice mould group of performance is carried out, benchmark digital signal A1 is obtained, benchmark digital signal A1 Waveform in Fig. 2 only to illustrate for the purpose of, obtained benchmark digital signal A1 can store voice main control chip or and its In the storage equipment of connection.
Analog audio signal A0 can be the constant periodic voltage signal of fixed frequency response i.e. frequency amplitude, each period All the same and voltage magnitude is identical, facilitates in measurement and compares, but analog audio signal A0 can also be with frequency response unfixed non-week Phase property waveform.
As shown in Figure 2, benchmark digital signal is usually square.The canonical form of digital audio and video signals is IIS (Inter-IC Sound) or I2S standard signal are PHILIPS Co.s for digital audio-frequency apparatus, such as CD Player, digital audio A kind of bus standard imitating the audio data transmission between processor, DTV sound system and formulating.
After the acquisition and storage for completing benchmark digital signal A1, it can start to test mould group to be measured.
When being tested, analog audio signal A0 can be issued by exterior terminals such as PC, be sent to by Audio Data Line The simulation input pin of die trial group sound intermediate frequency decoding chip to be measured, audio decoder chip to the audio signal carry out digital-to-analogue conversion and IIS encoding and decoding obtain comparing digital signal A2.
In the step S2, the clock frequency that audio decoder chip is converted to iis can be 1Mhz, and left and right alignment clock can Think 16Khz.The input clock of audio decoder chip is generally provided by voice main control chip, IIS clock and left and right alignment clock And provided by voice main control chip, the comparison digital signal A2 after conversion, which is then exported by audio decoder chip, gives voice master control core Piece.
The left and right alignment clock respectively includes left-justify clock and Right Aligns clock, left-justify (left- Justified), i.e. the clock signal that is aligned to byte position on the left of data of clock edge, Right Aligns (right-justified), That is clock signal of the clock edge to byte position alignment on the right side of data.
Pre-stored benchmark digital signal A1 is compared voice main control chip with digital signal A2 is compared.
The mode of comparison can be compared using Cycle by Cycle, such as a segment of audio signal one shares 100 clock cycle, to every One period compared respectively in chronological order, and the ratio of complete signal clock cycle number is accounted for according to the same period quantity detected Judge whether up to standard.It is described up to standard are as follows: for example established standards are 97% or more up to standard, then in 100 clock cycle, have 97 with On clock cycle signal it is identical, then it is assumed that it is up to standard, judge acoustic model qualification.
For the monocycle comparison concrete mode can use voltage sample, specifically: taken within the monocycle it is N number of not Same time point, as shown in Fig. 2, various time points can uniformly be chosen, it can also be with random distribution, such as 100 time points are selected, Threshold value 95 is set, if 95 or more point voltage values are identical in the monocycle, then it is assumed that the period is same period, such as is schemed In 2, cycle T 1 and T3 voltage value on substantial portion of time point is different, it may be determined that be different, each point voltage in cycle T 2 It is then substantially identical everywhere.
Using the test method of local voice mould set product acoustical behavior of the present invention, can fast and accurately judge Whether the acoustical behavior of voice mould group is qualified up to standard, reduces the step process of mould group test, accelerates the time of mould group test, Mould group testing efficiency is improved, the testing cost of mould group is reduced, the equipment test in the identification of all native languages can be applied In method, play a role in promoting to popularizing for voice artificial intelligence.
Previously described is each preferred embodiment of the invention, if the preferred embodiment in each preferred embodiment It is not obvious contradictory or premised on a certain preferred embodiment, each preferred embodiment can any stack combinations Use, the design parameter in the embodiment and embodiment only for the purpose of clearly stating the inventor's invention verification process, and It is non-to limit scope of patent protection of the invention, scope of patent protection of the invention is still subject to the claims, all It is that similarly should be included within the scope of the present invention with the variation of equivalent structure made by description of the invention.

Claims (7)

1. a kind of test method of local voice mould set product acoustical behavior, which comprises the steps of:
S1;Benchmark digital signal A1 is converted by fixed algorithm by analog audio signal A0;The fixed algorithm is voice mould Analytical algorithm of the group to analog audio signal;
S2;Analog audio signal A0 is inputted into voice mould group to be measured, analog audio signal is converted comparison by voice mould group to be measured Digital signal A2;
S3;Benchmark digital signal A1 is compared with digital signal A2 is compared, judge if the two similarity reaches standard to The acoustical behavior for surveying voice mould group is up to standard, otherwise not up to standard.
2. the test method of local voice mould set product acoustical behavior as described in claim 1, which is characterized in that the benchmark Digital signal A1 and to compare digital signal A2 be standard iis digital signal.
3. the test method of local voice mould set product acoustical behavior as claimed in claim 2, which is characterized in that be converted to mark The clock frequency of quasi- iis digital signal is 1Mhz;Left and right alignment clock is 16Khz.
4. the test method of local voice mould set product acoustical behavior as described in claim 1, which is characterized in that the simulation Audio signal A0 is fixed frequency response curve.
5. the test method of local voice mould set product acoustical behavior as claimed in claim 4, it is characterised in that: the simulation Audio signal A0 is frequency 1k hertz, the sine wave of amplitude 1V.
6. the test method of local voice mould set product acoustical behavior as described in claim 1, which is characterized in that the step Way of contrast in S3 is the monocycle comparison that the clock cycle one by one is chronologically carried out to signal, according to the same period detected The ratio that quantity accounts for complete signal clock cycle number judges whether up to standard.
7. the test method of local voice mould set product acoustical behavior as claimed in claim 6, which is characterized in that the single-revolution The concrete mode of phase comparison are as follows: N number of different time points are taken within the monocycle, it is identical greater than the time point of threshold value upper voltage value, Then think that signal is identical in the period.
CN201910358064.1A 2019-04-30 2019-04-30 The test method of local voice mould set product acoustical behavior Pending CN109979434A (en)

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Cited By (3)

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CN112233654A (en) * 2019-07-15 2021-01-15 成都启英泰伦科技有限公司 System and method for detecting recognition rate of local off-line intelligent voice recognition module
CN112417109A (en) * 2020-10-26 2021-02-26 出门问问(苏州)信息科技有限公司 Method and device for testing man-machine conversation system
CN113094223A (en) * 2021-04-14 2021-07-09 成都启英泰伦科技有限公司 Method for detecting voice recognition module audio channel hardware function

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CN108091348A (en) * 2018-01-31 2018-05-29 佛山博智医疗科技有限公司 Speech audiometry response identification test device and method

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CN102368384A (en) * 2011-10-19 2012-03-07 福建联迪商用设备有限公司 Voice module test method and voice module test device
CN104050964A (en) * 2014-06-17 2014-09-17 公安部第三研究所 Audio signal reduction degree detecting method and system
US20160352892A1 (en) * 2014-11-12 2016-12-01 24/7 Customer, Inc. Method and apparatus for facilitating speech application testing
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