CN114245281B - Voice performance test method and system - Google Patents
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- CN114245281B CN114245281B CN202111504461.9A CN202111504461A CN114245281B CN 114245281 B CN114245281 B CN 114245281B CN 202111504461 A CN202111504461 A CN 202111504461A CN 114245281 B CN114245281 B CN 114245281B
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Classifications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04R—LOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS; DEAF-AID SETS; PUBLIC ADDRESS SYSTEMS
- H04R29/00—Monitoring arrangements; Testing arrangements
- H04R29/001—Monitoring arrangements; Testing arrangements for loudspeakers
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04R—LOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS; DEAF-AID SETS; PUBLIC ADDRESS SYSTEMS
- H04R29/00—Monitoring arrangements; Testing arrangements
- H04R29/004—Monitoring arrangements; Testing arrangements for microphones
Abstract
The invention discloses a voice performance test method and a system, comprising the following steps: acquiring test item information, generating an audio playing instruction based on the test item information, sending the audio playing instruction to an external loudspeaker and a built-in loudspeaker of the equipment to be tested, and simultaneously generating an audio recording instruction and sending the audio recording instruction to a built-in microphone of the equipment to be tested; acquiring a microphone acquisition signal recorded by a built-in microphone, inputting the microphone acquisition signal into an audio processing model, and generating an algorithm processing signal; acquiring the microphone acquisition signal and the algorithm processing signal, and inputting the microphone acquisition signal and the algorithm processing signal into a voice performance evaluation model for local evaluation to obtain a voice performance index; comparing the voice performance index with a voice performance threshold value to generate a voice performance test result; the method and the device have the effect of improving efficiency of batch test of the voice equipment.
Description
Technical Field
The invention relates to the technical field of voice performance testing, in particular to a voice performance testing method and system.
Background
At present, when the voice performance test is performed on the voice equipment, the noise audio or the test audio needs to be played by means of external equipment, and the audio recorded by the equipment to be tested needs to be transmitted to an electronic computer and is compared and analyzed by professional voice performance test software on the electronic computer.
The existing voice equipment can be provided with various different operating systems, has various playing/recording formats and poor compatibility, and has complex operation and lower efficiency because format conversion is needed when professional voice performance test software is imported to perform voice performance test.
With respect to the above related art, the inventors consider that there is a problem that the voice equipment performance test steps are cumbersome, resulting in lower efficiency.
Disclosure of Invention
In order to improve efficiency of batch test of voice equipment, the application provides a voice performance test method.
The first technical scheme adopted by the invention is as follows:
a method of voice performance testing, comprising:
acquiring test item information, generating an audio playing instruction based on the test item information, sending the audio playing instruction to an external loudspeaker and a built-in loudspeaker of the equipment to be tested, and simultaneously generating an audio recording instruction and sending the audio recording instruction to a built-in microphone of the equipment to be tested; acquiring a microphone acquisition signal recorded by a built-in microphone, inputting the microphone acquisition signal into an audio processing model, and generating an algorithm processing signal;
acquiring the microphone acquisition signal and the algorithm processing signal, and inputting the microphone acquisition signal and the algorithm processing signal into a voice performance evaluation model for local evaluation to obtain a voice performance index;
And comparing the voice performance index with a voice performance threshold value to generate a voice performance test result.
By adopting the technical scheme, the test project information is acquired so as to obtain the loudspeaker and the audio required by the next test project from the test project information, when a test is started, an audio playing instruction is generated based on the loudspeaker and the audio required by the test project and is sent to an external loudspeaker and a built-in loudspeaker of the equipment to be tested, an audio recording instruction is generated and is sent to a built-in microphone of the equipment to be tested, so that the equipment to be tested plays the test audio, and a microphone acquisition signal is recorded; inputting the microphone acquisition signals into an audio processing model so as to obtain algorithm processing signals processed by various algorithms in the audio processing model; the microphone acquisition signals and the algorithm processing signals are input into a voice performance evaluation model which is arranged in the equipment to be tested for comparison and analysis, so that voice performance indexes which reflect voice processing performance of the audio processing model are obtained, the microphone acquisition signals and the algorithm processing signals which are acquired by the equipment to be tested are not required to be transmitted to an electronic computer for testing through professional voice performance testing software, the purchase cost of the professional voice performance testing equipment and the purchase cost of the professional voice performance testing software are saved, and meanwhile, the problem of low testing efficiency caused by compatibility is solved; and comparing the voice performance index with a preset voice performance threshold to generate a voice performance test result, wherein the voice performance test result is used for evaluating the voice processing performance of the audio processing model.
The present application may be further configured in a preferred example to: the step of obtaining the microphone acquisition signal and the algorithm processing signal, inputting the microphone acquisition signal and the algorithm processing signal into a voice performance evaluation model for local evaluation, and before the step of obtaining the voice performance index, further comprising the steps of:
acquiring a noise reduction evaluation algorithm, an echo cancellation evaluation algorithm and a duplex echo cancellation evaluation algorithm, and creating a voice performance evaluation model based on the noise reduction evaluation algorithm, the echo cancellation evaluation algorithm and the duplex echo cancellation evaluation algorithm;
and sending the voice performance evaluation model to equipment to be tested.
By adopting the technical scheme, a voice performance evaluation model is established, wherein the voice performance evaluation model comprises a noise reduction evaluation algorithm, an echo cancellation evaluation algorithm and a duplex echo cancellation evaluation algorithm, and is respectively used for evaluating the noise reduction performance, the echo cancellation performance and the duplex echo cancellation performance of the voice processing by the audio processing model; the voice performance evaluation model is sent to the equipment to be tested, so that the equipment to be tested can directly compare the microphone acquisition signal recorded by the equipment to be tested with the algorithm processing signal generated by processing the audio processing model, the problem of compatibility possibly caused by the fact that audio is required to be transmitted to other equipment for processing in the traditional voice performance test is solved, meanwhile, the performance of a processor of the equipment to be tested is effectively utilized, and the cost of purchasing the voice performance test equipment is reduced.
The present application may be further configured in a preferred example to: the step of obtaining the microphone acquisition signal and the algorithm processing signal, inputting the microphone acquisition signal and the algorithm processing signal into a voice performance evaluation model for local evaluation, and obtaining a voice performance index further comprises the steps of:
creating an energy value waveform display window, displaying the energy value waveforms of the microphone acquisition signals and the algorithm processing signals in the energy value waveform display window, and comparing the waveforms of the microphone acquisition signals and the algorithm processing signals in real time.
By adopting the technical scheme, the energy value waveform display window is created, the energy value waveforms of the microphone acquisition signals and the algorithm processing signals are displayed in the energy value waveform display window, and the energy value waveform display window is used for comparing the difference between the microphone acquisition signals recorded by the equipment to be tested and the algorithm processing signals processed by the audio processing model in real time, so that a tester can more intuitively and conveniently see the test effect, and the problems in the voice performance test process can be eliminated in time, so that the detection accuracy is improved.
The present application may be further configured in a preferred example to: the step of obtaining the microphone acquisition signal and the algorithm processing signal, inputting the microphone acquisition signal and the algorithm processing signal into a voice performance evaluation model for local evaluation, and obtaining a voice performance index further comprises the steps of:
And acquiring the microphone acquisition signal and the noise reduction algorithm processing signal, aligning the microphone acquisition signal and the noise reduction algorithm processing signal, and calculating a voice suppression ratio and a noise suppression ratio as voice performance indexes.
By adopting the technical scheme, the microphone acquisition signal and the noise reduction algorithm processing signal are subjected to phase alignment so as to prevent the problem that the acoustic signals are mutually offset due to the phase difference between the microphone acquisition signal and the noise reduction algorithm processing signal, the voice suppression ratio and the noise suppression ratio are calculated as voice performance indexes so as to evaluate the suppression effect of the noise reduction algorithm on voice and the suppression effect of noise, and the lower the voice suppression ratio is, the higher the noise suppression ratio is, the better the noise reduction performance of the noise reduction algorithm is.
The present application may be further configured in a preferred example to: the step of obtaining the microphone acquisition signal and the algorithm processing signal, inputting the microphone acquisition signal and the algorithm processing signal into a voice performance evaluation model for local evaluation, and obtaining a voice performance index further comprises the steps of:
and acquiring the microphone acquisition signal and the echo cancellation algorithm processing signal, aligning the microphone acquisition signal and the echo cancellation algorithm processing signal, and calculating an echo return loss gain value as a voice performance index.
By adopting the technical scheme, the microphone acquisition signal and the echo cancellation algorithm processing signal are subjected to phase alignment so as to prevent the problem that acoustic signals cancel each other due to the phase difference between the microphone acquisition signal and the echo cancellation algorithm processing signal, an echo return loss gain value is calculated as a voice performance index so as to evaluate the effect of the echo cancellation algorithm on echo cancellation, and the greater the echo return loss gain value is, the better the echo cancellation performance of the echo cancellation algorithm is.
The present application may be further configured in a preferred example to: the step of obtaining the microphone acquisition signal and the algorithm processing signal, inputting the microphone acquisition signal and the algorithm processing signal into a voice performance evaluation model for local evaluation, and obtaining a voice performance index further comprises the steps of:
and respectively acquiring the microphone acquisition signal and the duplex algorithm processing signal, aligning the microphone acquisition signal and the duplex algorithm processing signal, subtracting the microphone acquisition signal from the duplex algorithm processing signal to obtain an algorithm evaluation signal, aligning the microphone acquisition signal and the algorithm evaluation signal, and calculating a duplex voice suppression ratio and a duplex echo suppression ratio as voice performance indexes.
By adopting the technical scheme, the microphone acquisition signal and the duplex algorithm processing signal are subjected to phase alignment so as to prevent the problem that acoustic signals cancel each other due to the phase difference between the microphone acquisition signal and the duplex algorithm processing signal, the microphone acquisition signal is subtracted from the duplex algorithm processing signal to obtain an algorithm evaluation signal, the microphone acquisition signal and the algorithm evaluation signal are subjected to phase alignment, and the duplex voice suppression ratio and the duplex echo suppression ratio are calculated to serve as voice performance indexes so as to evaluate the voice suppression effect and the echo suppression effect of the duplex echo cancellation algorithm, wherein the lower the duplex voice suppression ratio is, the higher the duplex echo suppression ratio is, the better the duplex echo cancellation performance of the duplex echo cancellation algorithm is.
The present application may be further configured in a preferred example to: the method comprises the steps of obtaining test item information, generating an audio playing instruction based on the test item information and sending the audio playing instruction to an external loudspeaker and a built-in loudspeaker of a device to be tested, and simultaneously generating an audio recording instruction and sending the audio recording instruction to a built-in microphone of the device to be tested, and further comprises the following steps: acquiring test sequence numbers and position information of equipment to be tested, and sending a preparation test instruction to a motor based on the test sequence numbers and the position information of the target equipment to be tested;
And acquiring the position information of the target equipment to be tested in real time, and sending a test starting instruction to the equipment bearing wheel and the external loudspeaker when the position information of the target equipment to be tested is successfully matched with the preset target position.
By adopting the technical scheme, the test sequence numbers are set for all the equipment to be tested, the position information of the equipment to be tested is obtained, a preparation test instruction is sent to the motor based on the test sequence numbers and the position information of the target equipment to be tested, and motor action parameters for moving the target equipment to be tested to a preset target position are provided for the motor; and acquiring the position information of the target equipment to be tested in real time, and sending a test starting instruction to the target equipment to be tested and an external loudspeaker when the target equipment to be tested is positioned at a preset target position so as to perform the voice performance test work of the target equipment to be tested.
The present application may be further configured in a preferred example to: comparing the voice performance index with a voice performance threshold value, and after the step of generating a voice performance test result, further comprising the steps of:
after the target device to be tested is tested, the next target device to be tested is marked from the devices to be tested based on the test serial numbers of the target devices to be tested which are tested.
Through adopting above-mentioned technical scheme, after one target equipment to be tested is tested and is accomplished, based on the test serial numbers of target equipment to be tested and remaining equipment to be tested who accomplishes the test, select next target equipment to be tested and carry out the mark from equipment to be tested, the voice performance testing arrangement of being convenient for tests next target equipment to be tested to reach the effect of continuous automatic test a plurality of equipment to be tested.
The second object of the present invention is achieved by the following technical scheme:
the voice performance testing device comprises a base, a device bearing wheel and an external loudspeaker, wherein the base is provided with a motor, an output shaft of the motor is coaxially and fixedly connected with the device bearing wheel, a plurality of device fixing assemblies for fixing a device to be tested on the device bearing wheel are arranged on the device bearing wheel, a signal transmitter for transmitting signals with the device to be tested is also arranged on the device bearing wheel, and the external loudspeaker is arranged above the device bearing wheel; the motor is provided with a first controller for receiving a preparation test instruction in the voice performance test method to control an output shaft of the motor to rotate, the equipment bearing wheel is provided with a second controller for receiving a start test instruction in the voice performance test method to control the signal transmitter to send the start test instruction to the target equipment to be tested, and the external loudspeaker is provided with a third controller for receiving the start test instruction in the voice performance test method to control the external loudspeaker to play test audio.
By adopting the technical scheme, the voice performance testing device comprises the equipment bearing wheel provided with a plurality of equipment fixing assemblies, so that a plurality of equipment to be tested can be conveniently fixed on the equipment bearing wheel, the voice performance testing device can perform voice performance testing of the equipment to be tested at one time, the voice performance testing device also comprises the base with the motor, wherein the output shaft of the motor is coaxially and fixedly connected with the equipment bearing wheel, so that the equipment bearing wheel can be driven to rotate, when one equipment to be tested completes voice performance testing, the equipment bearing wheel is driven to rotate so as to move the next equipment to be tested to a preset target position for testing, the external loudspeaker is arranged above the equipment bearing wheel and is used for playing audio required by the voice testing, and the equipment bearing wheel is also provided with a signal transmitter for transmitting signals with the equipment to be tested mutually so as to transmit test starting instructions to the equipment to be tested to control the equipment to be tested to perform operations such as playing/recording of the audio, and the workload of staff is reduced; therefore, the voice performance testing device can automatically and continuously test a plurality of devices to be tested, and the testing efficiency is improved.
The third object of the present invention is achieved by the following technical scheme:
A speech performance testing system, comprising:
the audio playing and recording module is used for acquiring the test item information, generating an audio playing instruction based on the test item information and sending the audio playing instruction to the external loudspeaker and the built-in loudspeaker of the equipment to be tested, and generating an audio recording instruction and sending the audio recording instruction to the built-in microphone of the equipment to be tested;
the audio processing module is used for acquiring a microphone acquisition signal recorded by the built-in microphone, inputting the microphone acquisition signal into the audio processing model and generating an algorithm processing signal;
the voice performance evaluation module is used for acquiring the microphone acquisition signal and the algorithm processing signal, inputting the microphone acquisition signal and the algorithm processing signal into a voice performance evaluation model for local evaluation, and obtaining a voice performance index;
and the test result generation module is used for comparing the voice performance index with a voice performance threshold value to generate a voice performance test result.
By adopting the technical scheme, the test project information is acquired so as to obtain the loudspeaker and the audio required by the next test project from the test project information, when a test is started, an audio playing instruction is generated based on the loudspeaker and the audio required by the test project and is sent to an external loudspeaker and a built-in loudspeaker of the equipment to be tested, an audio recording instruction is generated and is sent to a built-in microphone of the equipment to be tested, so that the equipment to be tested plays the test audio, and a microphone acquisition signal is recorded; inputting the microphone acquisition signals into an audio processing model so as to obtain algorithm processing signals processed by various algorithms in the audio processing model; the microphone acquisition signals and the algorithm processing signals are input into a voice performance evaluation model which is arranged in the equipment to be tested for comparison and analysis, so that voice performance indexes which reflect voice processing performance of the audio processing model are obtained, the microphone acquisition signals and the algorithm processing signals which are acquired by the equipment to be tested are not required to be transmitted to an electronic computer for testing through professional voice performance testing software, the purchase cost of the professional voice performance testing equipment and the purchase cost of the professional voice performance testing software are saved, and meanwhile, the problem of low testing efficiency caused by compatibility is solved; and comparing the voice performance index with a preset voice performance threshold to generate a voice performance test result, wherein the voice performance test result is used for evaluating the voice processing performance of the audio processing model.
The fourth object of the present invention is achieved by the following technical scheme:
a computer device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, the processor implementing the steps of the above-described speech performance testing method when the computer program is executed by the processor.
The fifth invention of the application is realized by adopting the following technical scheme:
a computer readable storage medium storing a computer program which, when executed by a processor, implements the steps of the above-described speech performance testing method.
In summary, the present application includes at least one of the following beneficial technical effects:
1. the microphone acquisition signal recorded by the equipment to be tested is compared with the algorithm processing signal processed by the audio processing model through the application program for carrying out the voice performance test on the equipment to be tested, so that a voice performance test result is generated, the effect that a computer provided with professional voice performance test software is not required to be used when the voice performance test is carried out is achieved, the performance of the equipment to be tested is fully exerted, and the cost of purchasing the professional voice performance test equipment and the professional voice performance test software by enterprises is reduced.
2. An energy value waveform display window is created, energy value waveforms of microphone acquisition signals and algorithm processing signals are displayed in the energy value waveform display window, so that a tester can conveniently compare differences between microphone acquisition signals recorded by equipment to be tested and algorithm processing signals processed by an audio processing model in real time, problems occurring in the voice performance testing process are eliminated in time, and the detection accuracy is improved.
3. Through the voice performance testing device test equipment that awaits measuring that this application discloses, the staff can once only fix a plurality of equipment that await measuring on the equipment bearing wheel, and voice performance testing device can carry out the voice performance test of equipment that awaits measuring automatically, and automatic change next equipment that awaits measuring is tested after the equipment that awaits measuring accomplishes the test simultaneously, has reduced tester's working strength, has improved detection efficiency.
Drawings
FIG. 1 is a flow chart of a method for testing voice performance in an embodiment of the present application;
FIG. 2 is a flowchart showing the implementation of step S30 in a voice performance testing method according to an embodiment of the present application;
FIG. 3 is a flowchart of another implementation of step S30 in a voice performance testing method according to an embodiment of the present application;
FIG. 4 is a flowchart of another implementation of step S30 in a voice performance testing method according to an embodiment of the present application;
FIG. 5 is a flowchart of another implementation of step S30 in a voice performance testing method according to an embodiment of the present application;
FIG. 6 is a flowchart of another implementation of step S30 in a voice performance testing method according to an embodiment of the present application;
FIG. 7 is a flowchart showing the implementation of step S10 in a voice performance testing method according to an embodiment of the present application;
FIG. 8 is a flowchart of another implementation of a method for testing voice performance in an embodiment of the present application;
FIG. 9 is a schematic diagram of a voice performance testing apparatus according to an embodiment of the present application;
FIG. 10 is a cross-sectional view taken along line A-A of FIG. 9;
FIG. 11 is an enlarged partial view of portion A of FIG. 10;
FIG. 12 is a schematic block diagram of a speech performance testing system in an embodiment of the present application;
fig. 13 is a schematic view of an apparatus in an embodiment of the present application.
Reference numerals illustrate:
1. a base; 11. a motor; 12. an output shaft; 2. an equipment carrying wheel; 21. a device securing assembly; 22. a signal transmitter; 23. a connection part; 24. an equipment accommodating groove; 211. an equipment clamping assembly; 212. an elastic member; 213. a clamping block; 214. positioning holes; 2131. a positioning rod; 2132. a grip portion; 3. an external speaker; 4. a device under test; 5. a sound insulation housing; 51. a sliding door; 52. a test bin; 53. and (5) loading and unloading the equipment.
Detailed Description
The present application is described in further detail below with reference to the accompanying drawings.
In one embodiment, as shown in fig. 1, the application discloses a voice performance testing method, which specifically includes the following steps:
s10: and acquiring test item information, generating an audio playing instruction based on the test item information, sending the audio playing instruction to an external loudspeaker and a built-in loudspeaker of the equipment to be tested, and simultaneously generating an audio recording instruction and sending the audio recording instruction to a built-in microphone of the equipment to be tested.
In this embodiment, the test item information refers to a voice performance test item required to be performed by the device to be tested, where the test item includes a noise reduction test, an echo cancellation test, and a duplex echo cancellation test; the external speaker refers to a speaker on the external player for playing the test audio, and the built-in speaker refers to a speaker on the device under test.
Specifically, the noise reduction test requires an external speaker to play a noise source, and the target voice can be played through the external speaker or the internal speaker; the echo cancellation test requires a built-in speaker to play a test sound source; duplex echo cancellation testing requires both built-in speakers and external speakers to play the test audio.
Specifically, since the test audio required for different test items may be different, the number and kind of speakers required for playing the audio may also be different, and thus, it is necessary to acquire speakers and audio required for the next test item from the test item information, generate an audio playing instruction based on the speakers and audio required for the next test item, and send the audio playing instruction to the external speakers and the built-in speakers of the device under test, so as to perform the corresponding voice test item; and generating an audio recording instruction at the same time of sending the audio playing instruction, so that the device to be tested records the microphone acquisition signal to carry out subsequent audio processing and comparison.
Specifically, the test audio may use a uniformly quantized multi-band audio source, wherein the frequency of the waveform is selected from a 32Hz sine wave, a 64Hz saw tooth wave, a 125Hz square wave, a 125Hz sine wave, a 500Hz saw tooth wave, a 1KHz square wave, a 2KHz sine wave, a 4KHz saw tooth wave, an 8KHz square wave, and a 16KHz sine wave, and the waveform of the uniformly quantized audio source is stable and known, so that the voice performance test of the device under test is facilitated.
S20: and acquiring a microphone acquisition signal recorded by the built-in microphone, inputting the microphone acquisition signal into an audio processing model, and generating an algorithm processing signal.
In this embodiment, the microphone acquisition signal refers to an acoustic signal recorded when the microphone of the device to be tested performs the voice performance test, where the microphone acquisition signal is derived from audio played by an external speaker and/or audio played by a built-in speaker of the device to be tested; the audio processing model refers to a processing model for processing the microphone-collected signal so as to process the voice audio collected by the microphone to obtain voice audio that is more easily recognized by a person.
Specifically, the audio processing model comprises a noise reduction algorithm, an echo cancellation algorithm and a duplex echo cancellation algorithm, and is used for processing a microphone acquisition signal recorded by the equipment to be detected to generate an algorithm processing signal with noise and echo filtered, and is used for carrying out voice performance evaluation on the algorithm processing signal to acquire the processing effect of the audio processing model on the audio, wherein the algorithm processing signal comprises the noise reduction algorithm processing signal, the echo cancellation algorithm processing signal and the duplex algorithm processing signal.
S30: and acquiring a microphone acquisition signal and an algorithm processing signal, and inputting the microphone acquisition signal and the algorithm processing signal into a voice performance evaluation model to perform local evaluation to obtain a voice performance index.
In this embodiment, the speech performance evaluation model includes a noise reduction evaluation algorithm, an echo cancellation evaluation algorithm, and a duplex echo cancellation evaluation algorithm; the voice performance index is a voice performance parameter obtained by inputting a microphone acquisition signal into a voice performance evaluation model and calculating the voice performance parameter, and comprises a voice suppression ratio, a noise suppression ratio, an echo return loss gain value, a duplex voice suppression ratio and a duplex echo suppression ratio.
Specifically, after the voice performance evaluation model is created, the voice performance evaluation model is manufactured into an application program, and the voice performance evaluation model is installed in equipment to be tested before voice performance test is carried out, so that microphone acquisition signals and algorithm processing signals are evaluated on the equipment to be tested.
S40: and comparing the voice performance index with a voice performance threshold value to generate a voice performance test result.
In this embodiment, the voice performance threshold is a threshold for comparing with the voice performance index to determine whether the algorithm processing signal can satisfy each voice performance parameter of the qualification standard.
Specifically, the voice performance thresholds include a noise suppression threshold, a voice suppression threshold, an echo return loss gain threshold, a duplex echo suppression threshold, and a duplex voice suppression threshold.
Specifically, for the noise reduction test, when the average noise suppression ratio is greater than the noise suppression threshold and the average voice suppression ratio is less than the voice suppression threshold, the voice noise reduction is considered to meet the index requirement; otherwise, the index requirements are not met; for echo cancellation test, echo cancellation is considered abnormal if the echo return loss gain value is smaller than the echo return loss gain threshold value, and echo cancellation is considered successful if the echo return loss gain value is larger than the echo return loss gain threshold value; for duplex echo cancellation test, when the average duplex echo suppression ratio is larger than the duplex echo suppression threshold and the average duplex voice suppression ratio is smaller than the duplex voice suppression threshold, the duplex echo cancellation test is considered to meet the index requirement; otherwise, the index requirements are not met; if the noise reduction test, the echo cancellation test and the duplex echo cancellation test of the equipment to be tested all meet the index requirements, generating a qualified result of the voice performance test, otherwise, generating a disqualified result of the voice performance test.
In the embodiment, test item information is acquired so as to obtain a loudspeaker and audio required by the next test item from the test item information, when a test is started, an audio playing instruction is generated based on the loudspeaker and the audio required by the test item and is sent to an external loudspeaker and a built-in loudspeaker of the device to be tested, an audio recording instruction is generated and is sent to a built-in microphone of the device to be tested, so that the device to be tested plays the test audio, and a microphone acquisition signal is recorded; inputting the microphone acquisition signals into an audio processing model so as to obtain algorithm processing signals processed by various algorithms in the audio processing model; the microphone acquisition signals and the algorithm processing signals are input into a voice performance evaluation model which is arranged in the equipment to be tested for comparison and analysis, so that voice performance indexes which reflect voice processing performance of the audio processing model are obtained, the microphone acquisition signals and the algorithm processing signals which are acquired by the equipment to be tested are not required to be transmitted to an electronic computer for testing through professional voice performance testing software, the purchase cost of the professional voice performance testing equipment and the purchase cost of the professional voice performance testing software are saved, and meanwhile, the problem of low testing efficiency caused by compatibility is solved; and comparing the voice performance index with a preset voice performance threshold to generate a voice performance test result, wherein the voice performance test result is used for evaluating the voice processing performance of the audio processing model.
In one embodiment, as shown in fig. 2, before step S30, the method further includes the steps of:
s31: and acquiring a noise reduction evaluation algorithm, an echo cancellation evaluation algorithm and a duplex echo cancellation evaluation algorithm, and creating a voice performance evaluation model based on the noise reduction evaluation algorithm, the echo cancellation evaluation algorithm and the duplex echo cancellation evaluation algorithm.
Specifically, the noise reduction evaluation algorithm calculates a voice suppression ratio and a noise suppression ratio as voice performance indexes by performing phase alignment on a microphone acquisition signal and a noise reduction algorithm processing signal; the echo cancellation evaluation algorithm performs phase alignment on the microphone acquisition signal and the echo cancellation algorithm processing signal, and calculates an echo return loss gain value as a voice performance index; the duplex echo cancellation evaluation algorithm aligns the microphone acquisition signals and the duplex algorithm processing signals which are respectively acquired, takes the difference value between the duplex algorithm processing signals and the microphone acquisition signals as an algorithm evaluation signal, aligns the microphone acquisition signals and the algorithm evaluation signal, and calculates a duplex voice suppression ratio and a duplex echo suppression ratio as voice performance indexes.
S32: and sending the voice performance evaluation model to the equipment to be tested.
Specifically, after the voice performance evaluation model is created, an application program with the voice performance evaluation model is installed in the device to be tested before the voice performance test starts, so that the device to be tested can be used for running the application program to obtain voice performance indexes, further a voice performance test result is generated, the purchase cost of the voice performance test device is saved, and the performance of the hardware of the device to be tested is fully utilized.
Further, after the voice performance test is finished, before the equipment leaves the factory, the application program with the voice performance evaluation model can be unloaded, so that memory occupation of the equipment leaves the factory is reduced, and the use experience of a user is improved.
In one embodiment, as shown in fig. 3, in step S30, the method further includes the steps of:
s33: creating an energy value waveform display window, displaying the energy value waveforms of the microphone acquisition signals and the algorithm processing signals in the energy value waveform display window, and comparing the waveforms of the microphone acquisition signals and the algorithm processing signals in real time.
In the present embodiment, the energy value waveform display window refers to a program capable of displaying an energy value waveform of an acoustic signal in the form of an image on a user interface.
Specifically, the energy value waveform display window can display the energy value waveforms of the microphone acquisition signal and the algorithm processing signal on a screen of the equipment to be tested, so that a tester can observe the testing process in real time, and the problems in the voice performance testing process can be eliminated in time.
Further, the display content of the energy value waveform display window can be transmitted to other devices so that the tester can observe the energy value waveform graph of the testing process in different places.
In one embodiment, as shown in fig. 4, in step S30, the method further includes the steps of:
s34: and acquiring a microphone acquisition signal and a noise reduction algorithm processing signal, aligning the microphone acquisition signal and the noise reduction algorithm processing signal, and calculating a voice suppression ratio and a noise suppression ratio as voice performance indexes.
Specifically, the specific flow of the noise reduction evaluation algorithm is as follows: the built-in speaker plays a section of target voice signal, and the external speaker plays a section of noise signal; the built-in microphone records the microphone acquisition signals, the noise reduction algorithm is used for carrying out noise reduction processing on the microphone acquisition signals to obtain noise reduction algorithm processing signals, the microphone acquisition signals and the noise reduction algorithm processing signals are aligned, and the voice suppression ratio and the noise suppression ratio are calculated.
Specifically, the calculation formula of the voice suppression ratio (Speech Suppression Rate, SSR) is:
the noise suppression ratio (Noise Suppression Rate, NSR) is calculated as:
in one embodiment, as shown in fig. 5, in step S30, the method further includes the steps of:
s35: and acquiring a microphone acquisition signal and an echo cancellation algorithm processing signal, aligning the microphone acquisition signal and the echo cancellation algorithm processing signal, and calculating an echo return loss gain value as a voice performance index.
Specifically, the specific flow of the echo cancellation evaluation algorithm is as follows: the built-in loudspeaker plays a section of voice signal, the built-in microphone acquires a microphone acquisition signal, echo cancellation processing is carried out on the microphone acquisition signal by using an echo cancellation algorithm to obtain an echo cancellation algorithm processing signal, the microphone acquisition signal d (k) and the echo cancellation algorithm processing signal e (k) are aligned, and an echo return loss gain value is calculated.
Specifically, the calculation formula of the echo return loss gain value (Echo Return Loss Enhancement, ERLE) is:
in one embodiment, as shown in fig. 6, in step S30, the method further includes the steps of:
s36: the method comprises the steps of respectively obtaining a microphone acquisition signal and a duplex algorithm processing signal, aligning the microphone acquisition signal and the duplex algorithm processing signal, subtracting the microphone acquisition signal from the duplex algorithm processing signal to obtain an algorithm evaluation signal, aligning the microphone acquisition signal and the algorithm evaluation signal, and calculating a duplex voice suppression ratio and a duplex echo suppression ratio as voice performance indexes.
Specifically, the specific flow of the duplex echo cancellation evaluation algorithm is as follows: firstly, when an external loudspeaker plays one section of target voice, a microphone acquisition signal is x, then, when the external loudspeaker plays the same section of target voice, and meanwhile, when an internal loudspeaker plays another section of voice, the internal microphone records the external voice signal and processes the external voice signal by using a duplex echo cancellation algorithm to obtain a duplex algorithm processing signal y, the x and y signals are aligned, the x signal is subtracted from the y signal to obtain an algorithm evaluation signal z, the microphone acquisition signal x and the algorithm evaluation signal z are aligned, and a duplex evaluation index is calculated, wherein the duplex evaluation index comprises a duplex voice suppression ratio and a duplex echo suppression ratio.
Specifically, the calculation formula of the duplex voice suppression ratio is:
the calculation formula of the duplex echo suppression ratio is as follows:
in one embodiment, as shown in fig. 7, before step S10, the method further includes the steps of:
s11: and acquiring the test sequence number and the position information of the equipment to be tested, and sending a preparation test instruction to the motor based on the test sequence number and the position information of the target equipment to be tested.
In this embodiment, the test sequence number refers to a sequence number specified for a plurality of devices to be tested placed on the device carrying wheel, and is used to determine a test sequence of the devices to be tested; the location information refers to information in which the current location of each device under test is recorded.
Specifically, the test sequence number and the position information of the device to be tested are obtained, the next target device to be tested is determined and marked based on the test sequence number of the device to be tested, the relative position information of the current position of the target device to be tested and the preset target position is calculated based on the position information of the target device to be tested, so that the action parameters of the motor are generated based on the relative position information, and the target device to be tested is moved to the preset target position for voice performance test.
S12: and acquiring the position information of the target equipment to be tested in real time, and sending a test starting instruction to the equipment bearing wheel and the external loudspeaker when the position information of the target equipment to be tested is successfully matched with the preset target position.
In this embodiment, the preset target position refers to an optimal position of the device under test for performing a voice performance test.
Specifically, the position information of the target device to be tested is obtained in real time to obtain the relative position information of the position of the target device to be tested and the preset target position, so that the rotating angle of the motor is subjected to closed-loop control, the accuracy of the rotating position of the bearing wheel of the device is improved, and the test is started when the position information of the target device to be tested is successfully matched with the preset target position.
In one embodiment, as shown in fig. 8, after step S40, the method further includes the steps of:
s50: after the target device to be tested is tested, the next target device to be tested is marked from the devices to be tested based on the test serial numbers of the target devices to be tested which are tested.
Specifically, after one target device to be tested completes the voice performance test, the next target device to be tested is selected and marked based on the test serial number of the target device to be tested which completes the test.
It should be understood that the sequence number of each step in the foregoing embodiment does not mean that the execution sequence of each process should be determined by the function and the internal logic of each process, and should not limit the implementation process of the embodiment of the present application in any way.
In an embodiment, as shown in fig. 9, a voice performance testing apparatus is provided, where the voice performance testing apparatus includes a base 1, a device carrying wheel 2, and an external speaker 3, the base 1 is provided with a motor 11 for driving the device carrying wheel 2 to rotate, an output shaft 12 of the motor 11 is fixedly connected with the device carrying wheel 2 to make the output shaft 12 of the motor 11 coaxially rotate with the device carrying wheel 2, and the motor 11 is provided with a first controller for receiving a preparation test instruction in the voice performance testing method to control the output shaft 12 of the motor 11 to rotate, so that the motor 11 rotates a target device 4 to be tested to a preset target position based on an action parameter in the preparation test instruction.
As shown in fig. 10 and 11, the device carrying wheel 2 includes a connecting portion 23 for connecting the output shaft 12 and a plurality of device fixing components 21 for fixing the device 4 to be tested on the device carrying wheel 2, one end of the device fixing component 21 is fixedly connected to the connecting portion 23, one end of the device fixing component 21 away from the connecting portion 23 is provided with a device accommodating groove 24 for accommodating the device 4 to be tested, two side walls of the device accommodating groove 24 which are symmetrical to each other are provided with two device clamping components 211, the device clamping components 211 include an elastic piece 212 and a clamping block 213, one end of the elastic piece 212 is fixedly connected to the side wall of the device accommodating groove 24, the other end of the elastic piece 212 is fixedly connected to the clamping block 213, and the device fixing component 21 plays a role of clamping the device 4 to be tested through the two device clamping components 211; the clamping block 213 is provided with the locating lever 2131 with one side that is connected with the elastic piece 212, and the locating hole 214 has all been seted up to two lateral walls that equipment holding groove 24 is used for fixed elastic piece 212, and locating lever 2131 wears to establish and sliding connection in locating hole 214 to restrict the direction of movement of clamping block 213, make clamping block 213 more even to the clamping force distribution of measuring equipment 4.
Preferably, a holding portion 2132 is provided on a side of the clamping block 213 away from the base 1, so that in a case where the thickness of the device 4 to be tested is large, a worker can conveniently move the clamping block 213 to take the device 4 to be tested, and the clamping block 213 can be made of soft materials, so as to reduce the probability that the clamping block 213 wears the device 4 to be tested when abutting against the device 4 to be tested.
As shown in fig. 11, the connection part 23 is provided with a signal transmitter 22 for transmitting signals between the device carrying wheel 2 and the device under test 4, and the signal transmitter 22 is connected with the device under test 4, and is used for sending a test starting instruction to the device under test 4 on one hand and obtaining a test result after the voice performance test is completed on the other hand; the equipment carrying wheel 2 is provided with a second controller for receiving the start test instruction in the voice performance test method so as to control the signal transmitter 22 to send the start test instruction to the equipment to be tested 4; in this embodiment, the signal transmitter 22 is a data line, and in actual use, communication can be established between the device carrier wheel 2 and the device under test 4 through a wireless communication module such as a bluetooth module and a network connection module.
The device to be tested 4 is located in the device accommodating groove 24, one end of the device to be tested 4 is provided with a data interface, one end of the device to be tested 4, which is provided with the data interface, faces the connecting portion 23, one end of the device to be tested 4, which is far away from the connecting portion 23, is abutted against the side wall of the device accommodating groove 24, which is far away from the connecting portion 23, and two side faces, adjacent to the end, which is provided with the data interface, of the device to be tested 4 are respectively abutted against the two clamping blocks 213.
As shown in fig. 9 and 10, the voice performance testing device further includes a sound insulation housing 5, which is used for separating the outside from the testing space of the device 4 to be tested, so that on one hand, the influence of external noise on the voice performance test of the device 4 to be tested can be reduced, the accuracy of the voice test is improved, and on the other hand, the influence of a noise source on the hearing of a worker during the noise reduction performance test of the device 4 to be tested can be reduced, and the comfort of the worker during the test work is improved; the sound insulation shell 5 is in a cylindrical shape with two overlapped parts, the sound insulation shell 5 comprises two chambers, namely a test chamber 52 for carrying out voice performance test on the equipment 4 to be tested and an equipment loading and unloading chamber 53 for conveniently installing the equipment 4 to be tested to the equipment bearing wheel 2 or removing the equipment 4 to be tested from the equipment bearing wheel 2, wherein the test chamber 52 is in a complete cylindrical shape, and an opening is formed between the test chamber 52 and the equipment loading and unloading chamber 53 so that the equipment bearing wheel 2 can transfer the equipment 4 to be tested between the test chamber 52 and the equipment loading and unloading chamber 53.
The device loading and unloading bin 53 is provided with an opening for placing or taking out the device 4 to be tested into or from the testing bin 52, the opening is also provided with a sliding door 51 for opening or closing the opening, the external loudspeaker 3 is fixedly connected to the top of the testing bin 52, and the external loudspeaker 3 is provided with a third controller for receiving a start test instruction in the above voice performance testing method to control the external loudspeaker 3 to play test audio.
In one embodiment, a voice performance test system is provided, where the voice performance test system corresponds to the voice performance test method in the above embodiment one by one.
As shown in fig. 12, a speech performance testing system includes an audio playing recording module, an audio processing module, a speech performance evaluating module, and a test result generating module. The detailed description of each functional module is as follows: the audio playing and recording module is used for acquiring the test item information, generating an audio playing instruction based on the test item information and sending the audio playing instruction to the external loudspeaker and the built-in loudspeaker of the equipment to be tested, and generating an audio recording instruction and sending the audio recording instruction to the built-in microphone of the equipment to be tested;
the audio processing module is used for acquiring a microphone acquisition signal recorded by the built-in microphone, inputting the microphone acquisition signal into the audio processing model and generating an algorithm processing signal;
the voice performance evaluation module is used for acquiring a microphone acquisition signal and an algorithm processing signal, inputting the microphone acquisition signal and the algorithm processing signal into the voice performance evaluation model for local evaluation, and obtaining a voice performance index; and the test result generation module is used for comparing the voice performance index with the voice performance threshold value to generate a voice performance test result.
For specific limitations of the voice performance test system, reference may be made to the above limitation of the voice performance test method, and no further description is given here; all or part of the modules in the voice performance test system can be realized by software, hardware and a combination thereof; the above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.
In one embodiment, a computer device is provided, which may be a server, and the internal structure of which may be as shown in fig. 13. The computer device includes a processor, a memory, a network interface, and a database connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The database of the computer device is used for storing data such as test audio, target voice, an audio processing model, a voice performance evaluation model, a voice performance index, a microphone acquisition signal, an algorithm processing signal and the like. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a method of speech performance testing.
In one embodiment, a computer device is provided comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, the processor implementing the following steps when executing the computer program:
s10: acquiring test item information, generating an audio playing instruction based on the test item information, sending the audio playing instruction to an external loudspeaker and a built-in loudspeaker of the equipment to be tested, and simultaneously generating an audio recording instruction and sending the audio recording instruction to a built-in microphone of the equipment to be tested;
s20: acquiring a microphone acquisition signal recorded by a built-in microphone, inputting the microphone acquisition signal into an audio processing model, and generating an algorithm processing signal;
s30: acquiring a microphone acquisition signal and an algorithm processing signal, and inputting the microphone acquisition signal and the algorithm processing signal into a voice performance evaluation model for local evaluation to obtain a voice performance index;
s40: and comparing the voice performance index with a voice performance threshold value to generate a voice performance test result.
In one embodiment, a computer readable storage medium is provided having a computer program stored thereon, which when executed by a processor, performs the steps of:
S10: acquiring test item information, generating an audio playing instruction based on the test item information, sending the audio playing instruction to an external loudspeaker and a built-in loudspeaker of the equipment to be tested, and simultaneously generating an audio recording instruction and sending the audio recording instruction to a built-in microphone of the equipment to be tested;
s20: acquiring a microphone acquisition signal recorded by a built-in microphone, inputting the microphone acquisition signal into an audio processing model, and generating an algorithm processing signal;
s30: acquiring a microphone acquisition signal and an algorithm processing signal, and inputting the microphone acquisition signal and the algorithm processing signal into a voice performance evaluation model for local evaluation to obtain a voice performance index;
s40: and comparing the voice performance index with a voice performance threshold value to generate a voice performance test result.
Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the various embodiments provided herein may include non-volatile and/or volatile memory. The nonvolatile memory can include Read Only Memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double Data Rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous Link DRAM (SLDRAM), memory bus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), among others.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-described division of the functional units and modules is illustrated, and in practical application, the above-described functional distribution may be performed by different functional units and modules according to needs, i.e. the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-described functions.
The above embodiments are only for illustrating the technical solution of the present application, and are not limiting; although the present application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art will understand; the technical scheme described in the foregoing embodiments can be modified or some of the features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present application, and are intended to be included in the scope of the present application.
Claims (1)
1. A voice performance testing device is characterized in that: the device comprises a base (1), a device bearing wheel (2) and an external loudspeaker (3), wherein the base (1) is provided with a motor (11), an output shaft (12) of the motor (11) is coaxially and fixedly connected with the device bearing wheel (2), a plurality of device fixing assemblies (21) for fixing a device (4) to be tested on the device bearing wheel (2) are arranged on the device bearing wheel (2), a signal transmitter (22) for mutually transmitting signals with the device (4) to be tested is also arranged on the device bearing wheel (2), and the external loudspeaker (3) is arranged above the device bearing wheel (2); the motor (11) is provided with a first controller for receiving a preparation test instruction in a voice performance test method to control an output shaft (12) of the motor (11) to rotate, the equipment bearing wheel (2) is provided with a second controller for receiving a start test instruction in the voice performance test method to control the signal transmitter (22) to send the start test instruction to the target equipment (4) to be tested, and the external loudspeaker (3) is provided with a third controller for receiving the start test instruction in the voice performance test method to control the external loudspeaker (3) to play test audio;
The voice performance testing method comprises the following steps:
acquiring test sequence numbers and position information of equipment to be tested, and sending a preparation test instruction to a motor based on the test sequence numbers and the position information of the target equipment to be tested;
acquiring the position information of a target device to be tested in real time, and transmitting a test starting instruction to the device bearing wheel and an external loudspeaker when the position information of the target device to be tested is successfully matched with a preset target position;
acquiring test item information, generating an audio playing instruction based on the test item information, sending the audio playing instruction to an external loudspeaker and a built-in loudspeaker of the equipment to be tested, and simultaneously generating an audio recording instruction and sending the audio recording instruction to a built-in microphone of the equipment to be tested;
acquiring a microphone acquisition signal recorded by a built-in microphone, inputting the microphone acquisition signal into an audio processing model, and generating an algorithm processing signal;
acquiring the microphone acquisition signal and the algorithm processing signal, and inputting the microphone acquisition signal and the algorithm processing signal into a voice performance evaluation model for local evaluation to obtain a voice performance index;
and comparing the voice performance index with a voice performance threshold value to generate a voice performance test result.
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