CN101111041B - Mobile communications network remote control detecting system and speech quality remote detecting method - Google Patents
Mobile communications network remote control detecting system and speech quality remote detecting method Download PDFInfo
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Abstract
The present invention discloses a mobile communication speech quality remote inspection system. The present invention comprises an inspection central platform (200) and a remote inspector (100) with an antenna (4), and the remote inspector (100) is connected with the inspection central platform (200) through an inspected system; a voice quality inspecting component (700) is arranged in the inspection central platform (200), and a voice quality inspecting component of the voice MOS assessment software based on the PESQ algorithm is arranged in the voice quality inspecting component (700). The present invention also provides a method for performing the mobile communication speech quality remote inspection by utilizing the above inspection system, the method can perform inspection and assessment to the speech quality objectively and effectively, therefore to judge the running state of the signal source equipment or the communication network, and to sensing the feeling of the user during the mobile communication.
Description
Technical field
The present invention relates to speech MOS evaluating system, particularly a kind of mobile communication speech quality MOS evaluating system in mobile communications network remote detection system (being mobile communication call quality remote detecting system) based on the PESQ algorithm based on the PESQ algorithm.
Background technology
At present in the mobile communication operational network, existing mobile communication call quality remote detecting system (as, the patent No. of my research and development is a kind of mobile communications network remote sensor of 200520014554.3) be used for the output signal of remote detection mobile communications network signal or mobile communication source device (repeater, trunk amplifier, BTS honeycomb).Though function is listened to the speech quality of communication network by these systems, the artificial speech quality of subjective evaluation communication network; But manually listen to the subjective feeling that finally depends on the people with the subjective evaluation speech quality, it is time-consuming not only to require great effort, and is subjected to the restriction of all test conditions and the influence of tester's subjective factor, makes the reliability of measurement result be subjected to certain influence.If especially wish at short notice unified assessment is manually listened to and made to the voice quality of mass detection point, this can't realize.Therefore, people urgently wish to have a kind of speech quality MOS (the average assessment method of MeanOpinion Score) assessment technology based on PESQ (Perceptual evaluationof speech quality perception speech Evaluation Method ITU-T is P.862) to be applied in the mobile communications network remote detection system, thus the objective speech quality of estimating mobile communications network or source device (repeater or trunk amplifier) output signal efficiently.
Summary of the invention
The technical problem to be solved in the present invention provides a kind of mobile communication speech quality MOS evaluating system based on PESQ, realizes " mobile communications network remote detection system " automatically testing and estimating when the speech quality of speech quality that detects the source device output signal and air network signal; Efficiently speech quality is carried out testing evaluation by objective, thereby judge the ruuning situation of source device or communication network, the sensation of sensing mobile communication user when conversation.
In order to solve the problems of the technologies described above, the invention provides a kind of mobile communication call quality remote detecting system, comprise inspection center's platform and the remote sensor that has antenna, inspection center's platform is the inspection center's platform with automatic detection, comparison, judgement and management function, be respectively equipped with center processor and speech chip in the remote sensor, remote sensor links to each other with the inspection center platform by detected system; Coupler, source device, donor antenna and the mobile communication wireless network (this detected system be mainly used in the speech quality that detects source device output signal) of detected system for linking to each other successively; Perhaps detected system only is mobile communication wireless network (this detected system is mainly used in the speech quality that detects the mobile communication wireless network signal); Be provided with voice quality in inspection center's platform and measure assembly, voice quality mensuration assembly is provided with the voice quality mensuration assembly of assessing software based on the voice MOS of PESQ algorithm in being, it comprises the time unifying processing module, one end of time unifying processing module connects 2 input filter modules respectively, each input filter module connects 1 level adjusting module separately, the other end of time unifying processing module connects 2 sense of hearing modular converters respectively, each sense of hearing modular converter links to each other with the disturbance treatment module respectively, the disturbance treatment module also links to each other with the identifying bad root module with the cognitive model module respectively, and the identifying bad root module links to each other with the time unifying processing module again; Tested speech in the speech chip and the tested speech in inspection center's platform all are same a kind of standard testing voice of itu recommendation or are typical normal speech.
Improvement as mobile communication call quality remote detecting system of the present invention: also be provided with voice quality in the center processor and measure assembly.
The present invention also provides and utilized said detecting system to carry out the method for mobile communication call quality remote detection: inspection center's platform is passed to the preservation of recording of speech chip in the remote sensor with the standard testing voice by detected system, speech chip is measured assembly with the standard testing voice of preserving by the voice quality that detected system is back in inspection center's platform more then, measures assembly by voice quality and specifically carries out the work of following steps:
1), the level adjusting module carries out the level adjustment with the voice signal that receives earlier;
2), the signal of level adjusting module after again the level adjustment being handled pass to the input filter module that links to each other with self, carries out filtering by input filter module simulation standard telephone handset;
3), 2 input filter modules are input to filtered signal the time unifying processing module time of carrying out together respectively and go up and aim at then;
4), the contents processing of time unifying module and step are as follows:
A) signal is given prominence to the part to perceptual important by narrow-band filtering; These filtered signals only are used for time alignment;
B) estimate based on the time-delay of envelope;
C) reference signal by the language section of being divided into;
D) each section carried out estimating based on the time-delay of envelope;
E) each section language is carried out based on delay time verification block diagram, meticulous, cross-correlation;
F) carrying out language for the time-delay change in speaking decomposes and reorientation;
G) each section language is all provided time-delay and estimate, draw the time-delay of a frame one frame that sense of hearing conversion will use then;
5), the signal after the above-mentioned registration process enters two sense of hearing modular converters more respectively, sense of hearing modular converter is a physiological acoustics model, it can be expressed signal transformation to the appreciable loudness of time-frequency; Two sense of hearing modular converters pass to the disturbance treatment module with the signal after the conversion again, and the disturbance treatment module is responsible for the disturbance size between comparison and calculating tested speech and the reference voice;
6), after the disturbance treatment,
If find that disturbance is excessive, the disturbance treatment module is passed to the identifying bad root module with signal, show that last time unifying resume module is wrong, by identifying bad root module marking error frame, by postponing the original signal of estimation compensation and the maximum cross correlation of distorted signal by preliminary treatment, bad section is estimated a new delay, be input to the time unifying module again, promptly reenter step 4);
If find that disturbance meets the requirements, the disturbance treatment module just is passed to signal the cognitive model module and carries out corresponding calculated, can draw the assessment of perception speech and divide, and finally shows on inspection center's platform.
Improvement as above-mentioned mobile communication call quality remote detecting method: be provided with voice quality in the center processor in the remote sensor and measure assembly; Inspection center's platform is passed to center processor in the remote sensor with the standard testing voice by detected system, measures assembly by the voice quality in the center processor and measures; At last by center processor be responsible for measurement result by detected system be delivered to that inspection center's platform is preserved, statistical analysis and display result.
The present invention also provides the method for the another kind of mobile communication call quality remote detection under the same inventive concept: remote sensor makes a call to inspection center's platform by detected system, behind inspection center's platform call establishment, remote sensor will be solidificated in the standard testing voice of its speech chip inside, pass to inspection center's platform by detected system, measure assembly by the voice quality in inspection center's platform and assess; Assessment content and mode are measured assembly 700 with the voice quality in the claim 3, then measurement result are preserved in inspection center's platform 200, statistical analysis and demonstration.
The present invention also provides the method for another the mobile communication call quality remote detection under the same inventive concept:
Remote sensor will be solidificated in the standard testing voice of its speech chip inside, pass to another remote sensor by detected system, measure assembly by the voice quality in another remote sensor and assess; Assessment content and mode are measured assembly 700 with the voice quality in the claim 3; Then this another remote sensor with measurement result by detected system be delivered to that inspection center's platform is preserved, statistical analysis and demonstration.
Selected remote sensor can be selected the utility model patent " a kind of mobile communications network remote sensor " that I have obtained the authorization for use among the present invention, and the patent No. is 200520014554.3.In the present invention, the detector that is installed in far-end is to be specifically designed to test mobile communications network signal, it can be tested current latest network signal strength signal intensity and extract other network parameter of master/adjacent sub-district, and test interface is supported air interface and coupling interface, and supports the recording and reproducing function of speech.
Inspection center's platform is a platform based on the Web mode, and it has the formulation test plan, functions such as assay test result, statistical graph, alarm management and digital map navigation.
Therefore, utilize mobile communications network remote detection system of the present invention and speech quality remote detecting method thereof, can realize the uplink and downlink voice quality of mobile communication signal is made automatically and the high assessment of accuracy rate.This assesses very objective and fair, does not have the interference of human factor.
Description of drawings
Below in conjunction with accompanying drawing the specific embodiment of the present invention is described in further detail.
Fig. 1 is the structural representation of a kind of mobile communications network remote detection system of the present invention;
Fig. 2 is the structural representation that the voice quality among Fig. 1 is measured assembly 700;
Fig. 3 is the actual user mode schematic diagram of Fig. 2;
Fig. 4 is the structural representation of a kind of remote sensor 100 among Fig. 1;
Fig. 5 is the structural representation of the another kind of remote sensor 100 among Fig. 1;
Fig. 6 is the structural representation of another kind of mobile communications network remote detection system of the present invention;
Fig. 7 is the structural representation of another mobile communications network remote detection system of the present invention.
Embodiment
The remote sensor 100 employing patent No.s are the remote sensor in 200520014554.3.As shown in Figure 4, remote sensor 100 comprises housing 2, is respectively equipped with antenna 4 and working station indicator 6 on housing 2; In housing 2, be respectively equipped with mode setting switch 1, controlled processing unit 3 and microphone and speaker interface 5.Controlled processing unit 3 comprises: watchdog module 30, electrification reset module 31, center processor 32, power module 33, data storage 34, speech chip 35, passage control chip 36, in establish the wireless communication module 37 of SIM card 38, this wireless communication module 37 can be GSM communication module (also can be CDMA or 3G communication module), and the tested speech in the speech chip 35 is the standard testing voice of itu recommendation or is typical normal speech.Center processor 32 links to each other with watchdog module 30, electrification reset module 31, data storage 34, speech chip 35, passage control chip 36 and wireless communication module 37 respectively, is responsible for unifying control by center processor 32; Power module 33 also links to each other with watchdog module 30, electrification reset module 31, center processor 32, data storage 34, speech chip 35, passage control chip 36 and wireless communication module 37 respectively, is responsible for unified power supply by power module 33.Passage control chip 36 also links to each other with speech chip 35, wireless communication module 37, microphone and speaker interface 5 respectively.One end of antenna 4 links to each other with wireless communication module 37.Mode setting switch 1 links to each other with center processor 32 respectively with working station indicator 6.The other end of antenna 4 links to each other with inspection center 200 by coupler 300, source device 400, donor antenna 500, mobile communication wireless network 600 successively.
Inspection center's platform 200 is an inspection center's platform with automatic detection, comparison, judgement and management function, is provided with voice quality in it and measures assembly 700.As shown in Figure 2, voice quality mensuration assembly 700 is provided with the voice quality mensuration assembly of assessing software based on the voice MOS of PESQ algorithm in being; It comprises time unifying processing module 703, and an end of time unifying processing module 703 connects 2 input filter modules 702 respectively, and each input filter module 702 connects 1 level adjusting module 701 separately; The other end of time unifying processing module 703 connects 2 sense of hearing modular converters 704 respectively, each sense of hearing modular converter 704 links to each other with disturbance treatment module 705 respectively, disturbance treatment module 705 also links to each other with identifying bad root module 707 with cognitive model module 706 respectively, and identifying bad root module 707 links to each other with time unifying processing module 703 again; The perception speech assessment that cognitive model module 706 is calculated gained divides, and finally shows at inspection center's platform 200.
Utilize said detecting system that the speech quality of source device 400 output signals of mobile communication is carried out remote detection:
One, when detecting (called) uplink speech quality, carry out following steps successively:
Inspection center's platform 200 sends call signal, and this call signal is passed to remote sensor 100 by mobile communication wireless network 600, donor antenna 500, source device 400, coupler 300 successively.Antenna 4 on the remote sensor 100 is delivered to center processor 32 with this call signal by wireless communication module 37, judges whether the signal that sends for the number that allows incoming call by center processor 32 according to being stored in list of numbers in the data storage 34 in advance.If not, disconnect this calling by center processor 32 controls.If, connect this calling by center processor 32 controls, under the control of center processor 32, the tested speech that speech chip 35 is preserved (the standard testing voice of itu recommendation or be typical normal speech) passes to wireless communication module 37 by passage control chip 36, is passed to inspection center's platform 200 by antenna 4, coupler 300, source device 400, donor antenna 500 and mobile communication wireless network 600 successively again.
Voice quality in inspection center's platform 200 is measured assembly 700 and is specifically carried out the work of following steps:
1), level adjusting module 701 carries out the level adjustment with the voice signal that receives earlier;
2), the signal of level adjusting module 701 after again the level adjustment being handled pass to the input filter module 702 that links to each other with self, carries out filtering (FFT) by input filter module 702 mock standard telephone receivers; This input filter module 702 plays the effect of an analog telephone handle.
3), 2 input filter modules 702 are input to filtered signal time unifying processing module 703 time of carrying out together respectively and go up and aim at then,
4), the contents processing of time unifying module 703 and step are as follows:
A, signal are given prominence to the part to perceptual important by narrow-band filtering; These filtered signals only are used for time alignment;
B, estimate based on the time-delay of envelope;
C, reference signal by the language section of being divided into;
D, each section carried out estimating based on the time-delay of envelope;
E, each section language is carried out based on delay time verification block diagram, meticulous, cross-correlation;
F, change for the time-delay in speaking and to carry out language and decompose (splitting) and reorientation.
G, each section language is all provided time-delay estimate, draw the time-delay of a frame one frame that sense of hearing conversion will use then.
5), the signal after the above-mentioned registration process enters two sense of hearing modular converters 704 more respectively;
Sense of hearing modular converter 704 is physiological acoustics models, and it can be expressed signal transformation to the appreciable loudness of time-frequency; 704 main compensation and the equilibriums of being responsible for system's neutral line filtering and change in gain of sense of hearing modular converter.Mainly comprise following content:
A, bark spectrum: add Hamming window and calculate the instantaneous power spectrum of each frame with FFT, every frame is overlapping 50%, i.e. 32ms.
B, frequency compensation: the average bark spectrum value of calculating effective Speech frame.Suppose to treat the persevering fixed frequency response of examining system, just provide transfer function with reference to the ratio between speech and distortion speech and estimate.It is suitable with the distortion speech to use this estimated value to compensate to reference to speech, and compensation is no more than at most ± 20dB.
The compensating equalization of c, change in gain: change in gain obtains the part compensation by the processing fundamental tone power density of a frame one frame in short-term.In each frame, calculate the fundamental tone power density values that all surpass threshold of hearing.(3 * 10-4), ratio is by low-pass first order filter filtering, and the distorted signal of each frame multiply by this power ratio, compensates to suitable with reference signal to obtain the ratio of reference signal and distorted signal.
D, loudness mapping: bark spectrum is mapped to loudness level (Song), comprises a frequency threshold and index.Provide the loudness of experiencing in each time frequency unit like this.
Two sense of hearing modular converters 704 pass to disturbance treatment module 705 with the signal after the conversion again, disturbance treatment module 705 is responsible for tested speech after the sense of hearing conversion and reference voice are transformed to inherent separately expression formula respectively, be similar to the physiology expression formula of voice signal in the auditory system, two expression formula results' difference is referred to as " disturbance ".Disturbance treatment is exactly to find the part with big disturbance, and this big disturbance shows that it is coarse that signal is aimed at, and need carry out realignment by the method for cross correlation.For a spot of voice that are difficult to aim at, this will significantly improve the accuracy of time alignment.
6), after the disturbance treatment, if find that disturbance is excessive, disturbance treatment module 705 is passed to identifying bad root module 707 with signal, show that last time unifying resume module is wrong, by identifying bad root module 707 marking error frames,, bad section is estimated a new delay by postponing the original signal of estimation compensation and the maximum cross correlation of distorted signal by preliminary treatment, be input to time unifying module 703 again, promptly reenter step 4);
Meet the requirements if find disturbance, disturbance treatment module 705 just is passed to signal cognitive model module 706 and carries out corresponding calculated, can draw perception speech assessment minute, finally preserves at inspection center's platform 200, statistical analysis and demonstration.
According to above step, the ascending voice signal quality of the tested measuring point of remote sensor 100 positions just can be judged in advance by inspection center 200.
Two, when detecting the downlink voice quality, carry out following steps successively:
1, inspection center's platform 200 sends voice signal (the standard testing voice of itu recommendation or for typical normal speech), is passed to remote sensor 100 by mobile communication wireless network 600, donor antenna 500, source device 400, coupler 300 successively.Antenna 4 on the remote sensor 100 is delivered to speech chip 35 preservation of recording by wireless communication module 37, passage control chip 36 successively with this voice signal.
2, center processor 32 control wireless communication modules 37 are more successively by antenna 4, coupler 300, source device 400, donor antenna 500 and mobile communication wireless network 600 clawback calling detection central platforms 200.After inspection center's platform 200 is connected these wireless telecommunications, the voice signal that recording in the speech chip 35 is preserved in center processor 32 controls passes to wireless communication module 37 by passage control chip 36, is transmitted to inspection center's platform 200 by antenna 4, coupler 300, source device 400, donor antenna 500 and mobile communication wireless network 600 successively again.Measure assembly 700 by the voice quality in inspection center's platform 200 and assess, judgment mode is with above-mentioned step 1)～6); Promptly be equal to voice quality and measure the work of being carried out when assembly 700 is used for detecting (called) uplink speech quality.
Therefore cognitive model module 706 is weighted and handles the assessed value that just can draw the downlink voice quality, finally preserves at inspection center's platform 200, statistical analysis and demonstration.
Three, when detecting (caller) uplink speech quality, carry out following steps successively:
Promptly in this embodiment 2, in center processor 32 and in inspection center's platform 200, be respectively equipped with a voice quality and measure assembly 700.
Therefore, utilize said detecting system that the speech quality of mobile communication source device 400 output signals is carried out remote detection:
One, when detecting (called or caller) uplink speech quality, with embodiment 1.
Two, when detecting the downlink voice quality, carry out following steps successively:
1, inspection center's platform 200 sends voice signal (the standard testing voice of itu recommendation or for typical normal speech), is passed to remote sensor 100 by mobile communication wireless network 600, donor antenna 500, source device 400, coupler 300 successively.Antenna 4 on the remote sensor 100 is passed to center processor 32 with this voice signal by wireless communication module 37, measures assembly 700 by the voice quality in the center processor 32 and assesses, and judgment mode is with the step 1) among the embodiment 1～6); The voice quality that promptly is equal among the embodiment 1 is measured the work of being carried out when assembly 700 is used for detecting (called) uplink speech quality.
Therefore the cognitive model module 706 that is positioned at center processor 32 will be calculated the perception speech assessment branch of gained, successively by wireless communication module 37, antenna 4, coupler 300, source device 400, donor antenna 500 and mobile communication wireless network 600, Zhongdao inspection center platform 200 is preserved, statistical analysis and demonstration.
Therefore, embodiment 3 just is to have cancelled coupler 300, source device 400 and donor antenna 500 with the difference of embodiment 1.So in embodiment 3, the antenna 4 on the remote sensor 100 directly links to each other with mobile communication wireless network 600.All the other are equal to embodiment 1.
When utilizing said detecting system that the speech quality of mobile communications network signal is carried out remote detection, antenna 4 directly is passed to signal mobile communication wireless network 600; Thereby replaced " antenna 4 by coupler 300, source device 400, donor antenna 500, is passed to mobile communication wireless network 600 with signal successively " among the embodiment 1.In like manner, inspection center's platform 200 directly is passed to signal antenna 4 by mobile communication wireless network 600; Thereby replaced " mobile communication wireless network 600 by donor antenna 500, source device 400, coupler 300, is passed to antenna 4 with signal successively " among the embodiment 1.All the other methods and step all are equal to embodiment 1.
Embodiment 4, a kind of mobile communications network remote detection system as shown in Figure 6, are made up of remote sensor 100, inspection center's platform 200 and mobile communication wireless network 600.Remote sensor 100 is with embodiment 2, promptly as shown in Figure 5.
Therefore, embodiment 4 just is to have cancelled coupler 300, source device 400 and donor antenna 500 with the difference of embodiment 2.So in embodiment 4, the antenna 4 on the remote sensor 100 directly links to each other with mobile communication wireless network 600.All the other are equal to embodiment 2.
When utilizing said detecting system that the speech quality of mobile communications network signal is carried out remote detection, antenna 4 directly is passed to signal mobile communication wireless network 600; Thereby replaced " antenna 4 by coupler 300, source device 400, donor antenna 500, is passed to mobile communication wireless network 600 with signal successively " among the embodiment 2.In like manner, mobile communication wireless network 600 directly is passed to signal antenna 4; Thereby replaced " mobile communication wireless network 600 by donor antenna 500, source device 400, coupler 300, is passed to antenna 4 with signal successively " among the embodiment 2.All the other methods and step all are equal to embodiment 2.
Utilize said detecting system, respectively each other during calling and called, the speech quality remote detection process of carrying out the mobile communications network signal is as follows between remote sensor I 1001 and remote sensor II 1002:
The antenna 4 of remote sensor II 1002 passes to center processor 32 with this signal by wireless communication module 37, and the voice quality mensuration assembly 700 in the center processor 32 is assessed thus; Assessment content and step are measured step 1)～6 of assembly 700 with the voice quality among the embodiment 1).Then, center processors 32 in the remote sensor II 1002 pass to inspection center's platform 200 with assessment result (being the up speech quality of remote sensor I 1001 and the down voice quality evaluation branch of remote sensor II 1002) by wireless communication module 37, antenna 4 and mobile communication wireless network 600 again, by inspection center's platform 200 preserve, statistical analysis and demonstration.Annotate: wireless communication module 37, center processor 32, the antenna 4 that occurs in this section all refers to the parts of remote sensor II 1002.
Up speech quality as need remote detection remote sensor I 1001 down voice quality and remote sensor II 1002, then the testing process of said distal ends detector I 1001 and remote sensor II 1002 is exchanged and get final product (be about to remote sensor II 1002 and be made as caller, be made as remote sensor I 1001 called).
At last, it is also to be noted that what more than enumerate only is several specific embodiments of the present invention.Obviously, the invention is not restricted to above embodiment, many distortion can also be arranged.All distortion that those of ordinary skill in the art can directly derive or associate from content disclosed by the invention all should be thought protection scope of the present invention.
Claims (6)
1. mobile communication call quality remote detecting system, the remote sensor (100) that comprises inspection center's platform (200) and have antenna (4), the inspection center platform of inspection center's platform (200) for having automatic detection, comparison, judgement and management function, be respectively equipped with center processor (32) and speech chip (35) in the described remote sensor (100), remote sensor (100) links to each other with inspection center's platform (200) by detected system; Described detected system is coupler (300), source device (400), donor antenna (500) and the mobile communication wireless network (600) that links to each other successively, and perhaps detected system only is a mobile communication wireless network (600); It is characterized in that: be provided with voice quality in the described inspection center platform (200) and measure assembly (700), described voice quality mensuration assembly (700) is provided with the voice quality mensuration assembly of assessing software based on the voice MOS of PESQ algorithm in being, it comprises time unifying processing module (703), one end of described time unifying processing module (703) connects 2 input filter modules (702) respectively, each input filter module (702) connects 1 level adjusting module (701) separately, the other end of time unifying processing module (703) connects 2 sense of hearing modular converters (704) respectively, each sense of hearing modular converter (704) links to each other with disturbance treatment module (705) respectively, disturbance treatment module (705) also links to each other with identifying bad root module (707) with cognitive model module (706) respectively, and described identifying bad root module (707) links to each other with time unifying processing module (703) again; Tested speech in the described speech chip (35) and the tested speech in inspection center's platform (200) all are same a kind of standard testing voice of itu recommendation or are typical normal speech.
2. a kind of mobile communication call quality remote detecting system according to claim 1 is characterized in that: also be provided with voice quality in the described center processor (32) and measure assembly (700).
3. method of utilizing the described detection system of claim 1 to carry out mobile communication call quality remote detection, it is characterized in that: inspection center's platform (200) is passed to the preservation of recording of speech chip (35) in the remote sensor (100) with tested speech by detected system, speech chip (35) is measured assembly (700) with the standard testing voice of preserving by the voice quality that detected system is back in inspection center's platform (200) more then, measures assembly (700) by voice quality and specifically carries out the work of following steps:
1), level adjusting module (701) carries out the level adjustment with the voice signal that receives earlier;
2), the signal of level adjusting module (701) after again the level adjustment being handled pass to the input filter module (702) that links to each other with self, carries out filtering by input filter module (702) mock standard telephone receiver;
3), 2 input filter modules (702) are input to filtered signal time unifying processing module (703) time of carrying out together respectively and go up aim at then;
4), the contents processing and the step of time unifying processing module (703) are as follows:
A) signal is given prominence to the part to perceptual important by narrow-band filtering; These filtered signals only are used for time alignment;
B) estimate based on the time-delay of envelope;
C) reference signal by the language section of being divided into;
D) each section carried out estimating based on the time-delay of envelope;
E) each section language is carried out based on delay time verification block diagram, meticulous, cross-correlation;
F) carrying out language for the time-delay change in speaking decomposes and reorientation;
G) each section language is all provided time-delay and estimate, draw the time-delay of a frame one frame that sense of hearing conversion will use then;
5), the signal after the above-mentioned registration process enters two sense of hearing modular converters (704) more respectively, sense of hearing modular converter (704) is a physiological acoustics model, it can be expressed signal transformation to the appreciable loudness of time-frequency; Described two sense of hearing modular converters (704) pass to the signal after the conversion disturbance treatment module (705) again, and disturbance treatment module (705) is responsible for relatively and the disturbance size between calculating tested speech and the reference voice;
6), after the disturbance treatment,
If find that disturbance is excessive, disturbance treatment module (705) is passed to identifying bad root module (707) with signal, show that last time unifying processing module (703) processing is wrong, by identifying bad root module (707) marking error frame, by postponing the original signal of estimation compensation and the maximum cross correlation of distorted signal by preliminary treatment, bad section is estimated a new delay, be input to time unifying processing module (703) again, promptly reenter step 4);
If find that disturbance meets the requirements, disturbance treatment module (705) just is passed to signal cognitive model module (706) and carries out corresponding calculated, can draw perception speech assessment and divide, finally on inspection center's platform (200), preserve, statistical analysis and display result.
4. the method for mobile communication call quality remote detection according to claim 3 is characterized in that: be provided with voice quality in the center processor (32) in the remote sensor (100) and measure assembly (700); Inspection center's platform (200) is passed to center processor (32) in the remote sensor (100) with the standard testing voice by detected system, measures assembly (700) by the voice quality in the center processor (32) and measures; At last by center processor (32) be responsible for measurement result by detected system be delivered to that inspection center's platform (200) is preserved, statistical analysis and display result.
5. method of utilizing the described detection system of claim 1 to carry out mobile communication call quality remote detection, it is characterized in that: remote sensor (100) makes a call to inspection center's platform (200) by detected system, behind inspection center's platform (200) call establishment, remote sensor (100) will be solidificated in the inner standard testing voice of its speech chip (35), pass to inspection center's platform (200) by detected system, measure assembly (700) by the voice quality in inspection center's platform (200) and assess; Assessment content and mode are measured assembly (700) with the voice quality in the claim 3, then measurement result are preserved in inspection center's platform (200), statistical analysis and demonstration.
6. method of utilizing the described detection system of claim 2 to carry out mobile communication call quality remote detection, it is characterized in that: remote sensor (100) will be solidificated in the inner standard testing voice of its speech chip (35), pass to another remote sensor (100) by detected system, measure assembly (700) by the voice quality in another remote sensor (100) and assess; Assessment content and mode are measured assembly (700) with the voice quality in the claim 3; Then this another remote sensor (100) with measurement result by detected system be delivered to that inspection center's platform (200) is preserved, statistical analysis and demonstration.
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| CN101686152B (en) * | 2008-09-26 | 2012-04-04 | 华为终端有限公司 | Status reporting method and device |
| CN102075988B (en) * | 2009-11-24 | 2014-07-02 | 中国移动通信集团浙江有限公司 | System and method for locating end-to-end voice quality fault in mobile communication network |
| CN102014126B (en) * | 2010-10-26 | 2013-06-26 | 同济大学 | Voice experience quality evaluation platform based on QoS (quality of service) and evaluation method |
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| CN104486359B (en) * | 2014-12-30 | 2018-08-28 | 广州市高科通信技术股份有限公司 | Test method and device, the monitoring method and system of the voice quality of IMS network |
| CN108305618B (en) * | 2018-01-17 | 2021-10-22 | 广东小天才科技有限公司 | Voice acquisition and search method, intelligent pen, search terminal and storage medium |
| CN109903752B (en) | 2018-05-28 | 2021-04-20 | 华为技术有限公司 | Method and device for aligning voice |
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