CN116866809B - Audio playing equipment fault detection method - Google Patents
Audio playing equipment fault detection method Download PDFInfo
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- CN116866809B CN116866809B CN202310884330.0A CN202310884330A CN116866809B CN 116866809 B CN116866809 B CN 116866809B CN 202310884330 A CN202310884330 A CN 202310884330A CN 116866809 B CN116866809 B CN 116866809B
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- 238000001514 detection method Methods 0.000 title claims abstract description 22
- 238000001228 spectrum Methods 0.000 claims abstract description 42
- 238000000034 method Methods 0.000 claims abstract description 18
- 230000005236 sound signal Effects 0.000 claims abstract description 7
- 238000005070 sampling Methods 0.000 claims description 12
- 230000000875 corresponding effect Effects 0.000 claims description 8
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- 230000002596 correlated effect Effects 0.000 claims description 6
- 230000002159 abnormal effect Effects 0.000 claims description 5
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- 230000007257 malfunction Effects 0.000 claims 5
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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
Abstract
The invention discloses a method for detecting faults of audio playing equipment, which comprises the following steps: in response to receiving a self-checking instruction for detection, playing a preset audio file pcm_mic, and collecting and playing sound output by the preset audio file pcm_mic to form an audio file pcm_play; obtaining a binarized frequency spectrum of the played audio file and the binarized frequency spectrum of the audio file acquired by the sound acquisition device; performing exclusive-or operation on the binary spectrum according to the bits to obtain an exclusive-or operation result, if the exclusive-or operation result is more than or equal to a preset coherence threshold, marking the aligned audio signal frame as a pair Ji Yinpin frame, and if the exclusive-or operation result is less than the preset coherence threshold, continuing to find a pair Ji Yinpin frame; and judging the abnormality of the audio playing equipment to be detected based on the calculated cross correlation coefficient and cross correlation coefficient spectrum of the preset audio file pcm_mic and the audio file pcm_play. The invention has high detection efficiency, is convenient, and saves time and labor.
Description
Technical Field
The invention relates to the technical field of audio playing equipment fault detection, in particular to a method for detecting an audio playing equipment fault.
Background
If the existing audio playing device (such as a sound box and a sound box) is detected before delivery, the existing audio playing device often needs to rely on professional detection equipment for detection, and the professional detection equipment is relatively expensive and can only be suitable for detecting the audio playing device when delivered, so that the existing audio playing device is difficult to be applied to detection after delivery to consumers (enterprises) after delivery. For audio playback devices that have been put into use (not limited to being in a playback state), such as speakers in a broadcast system, detection is typically by the human ear-sensing method, which is not highly reliable and relies heavily on the experience of the person. In addition, for a broadcasting system, if the distribution range of the audio playing device is large and the distribution density is sparse, the detection is very inconvenient and time-consuming. Particularly in noisy environments, this way of detection of the human ear is more difficult to detect effectively. It is difficult to determine whether the audio playback apparatus can output (play) sound, and although sound can be output, the sound quality is poor, which includes two types of lack of high-pitched sound only and lack of low-pitched sound only.
Disclosure of Invention
Aiming at the defects of the prior art, the invention aims to provide a method for detecting the faults of audio playing equipment, which can solve the problems described in the background art.
The technical scheme for realizing the purpose of the invention is as follows: a method for detecting the fault of audio playing equipment comprises the following steps:
step 1: in response to receiving a self-checking instruction for detection, the audio playing device to be detected plays a preset audio file pcm_mic, and sound output by the audio playing device to be detected plays the preset audio file pcm_mic is collected through a sound collecting device to form an audio file pcm_play;
step 2: taking a first frame of a preset audio file pcm_mic and a first frame of an audio file pcm_play respectively as a pcm_mic audio frame and a pcm_play audio frame to be aligned, respectively carrying out Fourier transform on the pcm_mic audio frame and the pcm_play audio frame to be aligned so as to convert the audio of a time domain into the audio of a frequency domain, respectively obtaining the fft_mic audio and the fft_play audio of the frequency domain,
comparing each sub-band amplitude corresponding to the fft_mic audio and the fft_play audio with a preset threshold value respectively, wherein the sub-band amplitude with the comparison result being greater than or equal to 0 is set as 1, and the sub-band amplitude with the comparison result being less than 0 is set as 0, so that respective binary spectrums of the fft_mic audio and the fft_play audio are obtained, and the binarized frequency spectrum of the played audio file and the binarized frequency spectrum of the audio file acquired by the sound acquisition device are obtained;
step 3: performing exclusive-or operation on the binary spectrum of the fft_mic audio and the binary spectrum of the fft_play audio according to the bits to obtain an exclusive-or operation result, if the exclusive-or operation result is not less than the preset coherence threshold, regarding the first frame of the preset audio file pcm_mic and the first frame of the audio file pcm_play as aligned audio signal frames, recording the aligned audio signal frames as Ji Yinpin frames, finding Ji Yinpin frames, continuing to execute the step 4,
if the exclusive or operation result is smaller than the preset coherence threshold, taking the next frame of the preset audio file pcm_mic as a new pcm_mic audio frame to be aligned, then jumping to the step 2 until any frame of the preset audio file pcm_mic is compared with any frame of the audio file pcm_play, and then, the symbol exclusive or operation result is larger than or equal to the preset coherence threshold, so that an aligned audio frame is found and the step 4 is continuously executed, or until a self-checking end instruction is received, and if Ji Yinpin frames are not found after the self-checking end instruction is received, judging that the broadcast video to be detected has faults;
step 4: the method comprises the steps of respectively calculating the self-spectrum power density and the cross-spectrum power density of a preset audio file pcm_mic and an audio file pcm_play according to frames, calculating the cross-correlation coefficient and the cross-correlation coefficient spectrum of the preset audio file pcm_mic and the audio file pcm_play based on the self-spectrum power density and the cross-spectrum power density, comparing the cross-correlation coefficient of the preset audio file pcm_mic and the audio file pcm_play according to corresponding aligned audio frames based on Ji Yinpin frames, judging that the audio playing device to be detected is normal if the preset audio file pcm_mic and the audio file pcm_play are strongly correlated according to the cross-correlation coefficient, and judging that the audio playing device to be detected is abnormal if the preset audio file pcm_mic and the audio file pcm_play are weakly correlated according to the cross-correlation coefficient.
Further, the sound collection device is directly installed on the audio playing device to be detected and forms an integrated device with the audio playing device to be detected.
Further, the sound collecting device is arranged around the audio playing device to be detected to form a separating device with the audio playing device to be detected.
Further, the preset audio file pcm_mic and the audio file pcm_play are stored respectively.
Further, the fourier transform uses an FFT short-time fast fourier transform.
Further, in step 2, power spectrums of the fft_mic audio and the fft_play audio are calculated respectively, and sub-band amplitudes of the fft_mic audio and the fft_play audio are calculated through the power, and the sub-band amplitudes are frequency amplitudes of the sub-bands, namely, for the fft_mic audio and the fft_play audio with the sampling point number of N, N-1 sub-band amplitudes are obtained.
Further, in step 3, a signal transmission delay between the audio file pcm_play and the preset audio file pcm_mic is calculated based on the aligned audio frames, and the signal transmission delay is a time difference between a playing time when the to-be-detected playing device starts to play the preset audio file pcm_mic and a collection time when the sound collection device successfully collects the sound.
Further, in step 4, after judging that the audio playing device to be detected is abnormal, step 5 is continued to be executed,
step 5: calculating the audio energy of the audio file pcm_play, if the audio energy is smaller than an energy threshold, judging that the audio playing equipment to be detected has no sound output and cannot play normally, if the audio energy is larger than or equal to a preset energy threshold, judging the coefficient of a low-frequency part and the coefficient of a high-frequency part in a cross-correlation coefficient spectrum, if the coefficient of the low-frequency part is smaller than the coefficient of the high-frequency part and smaller than the preset coefficient threshold, indicating that the audio playing equipment to be detected has a bass fault, namely only has high-frequency output and has no bass output, and if the coefficient of the high-frequency part is larger than the coefficient of the low-frequency part and smaller than the preset coefficient threshold, indicating that the audio playing equipment to be detected has a treble fault, namely only has low-frequency output and has no treble output.
The beneficial effects of the invention are as follows: the invention can judge whether the audio playing device to be detected has sound output or not and judge whether the audio playing device has bass fault or treble fault detection after the sound output is carried out by comparing the collected sound (audio) with the internally played audio, does not need professional detection equipment, has higher detection efficiency, can detect the audio playing device in the process of entering a use state after delivery of the audio playing device leaves a factory, can adapt to scenes such as broadcasting systems with the angles of the audio playing device and scattered (sparse) distribution, and has less and convenient time consumption and time and labor saving.
Drawings
FIG. 1 is a schematic flow chart of the present invention.
Detailed Description
The invention will be further described with reference to the accompanying drawings and detailed description:
as shown in fig. 1, a method for detecting a fault of an audio playing device is provided with a sound collecting device on an audio playing device to be detected, that is, the sound collecting device collects sound (audio) output after playing by the audio playing device to be detected, instead of directly collecting data of an audio file in the audio playing device to be detected on a circuit or software. Of course, the sound collection device may be directly mounted on the audio playing apparatus to be detected to form an integral device with the audio playing apparatus to be detected; or may be installed around the audio playing device to be detected to form a separate device with the audio playing device to be detected, that is, a separate independent device with the audio playing device to be detected. The sound collection device may be a microphone with a sound pickup function or other device capable of picking up sound. If a plurality of audio playing devices to be detected are provided, each audio playing device to be detected is provided with a sound collecting device, and the number of the sound collecting devices can be 1 or a plurality of sound collecting devices. The detection method comprises the following steps:
step 1: and in response to receiving the self-checking instruction for detection, the audio playing device to be detected plays the preset audio file pcm_mic. The sound collection device collects sound output by the audio playing device to be detected, plays the preset audio file pcm_mic, and forms an audio file pcm_play. That is, the sound collecting device collects the sound which is output by the audio playing device to be detected and is transmitted by the air, and the collected sound forms an audio file pcm_play.
For a broadcast system, a broadcast host sends a self-checking instruction to an audio playing device to be detected. For other audio playing devices to be detected, the self-checking instruction can be issued by an upper computer or a server or other control terminals.
In an alternative embodiment, the preset audio file pcm_mic and the audio file pcm_play are stored separately, for example, to a mic_fifo storage area and a play_fifo storage area, respectively.
Step 2: taking a first frame of a preset audio file pcm_mic and a first frame of an audio file pcm_play respectively as a pcm_mic audio frame and a pcm_play audio frame to be aligned, performing Fourier transform on the pcm_mic audio frame and the pcm_play audio frame to be aligned respectively, so as to convert the audio of a time domain into the audio of a frequency domain, and respectively obtaining fft_mic audio and fft_play audio of the frequency domain, namely obtaining fft_mic audio after performing Fourier transform on the first frame of the preset audio file pcm_mic, and obtaining fft_play audio after performing Fourier transform on the audio file pcm_play.
In practice, the fourier transform may be an FFT short-time fast fourier transform.
And respectively calculating the power spectrums of the fft_mic audio and the fft_play audio, and calculating the sub-band amplitudes of the fft_mic audio and the fft_play audio through the power, wherein the sub-band amplitudes are the frequency amplitudes of the sub-bands, and the number of sampling points is N for the fft_mic audio and the fft_play audio, so as to obtain N-1 sub-band amplitudes.
In this embodiment, the sampling points corresponding to the preset audio file pcm_mic and the audio file pcm_play are all 64, so each frame includes 64 sampling points, and the first frame is the first 64 sampling points. The 64 sampling points correspond to 64 frequency points (frequency points), and two adjacent frequency points form one subband, so that the 64 frequency points form 63 subbands, and 63 subband amplitudes can be obtained.
And comparing each sub-band amplitude corresponding to the fft_mic audio and the fft_play audio with a preset threshold value respectively, wherein the sub-band amplitude with the comparison result being greater than or equal to 0 is set as 1, and the sub-band amplitude with the comparison result being less than 0 is set as 0, so that respective binary spectrums of the fft_mic audio and the fft_play audio are obtained, and the binarized frequency spectrum of the played audio file and the binarized frequency spectrum of the audio file acquired by the sound acquisition device are obtained.
Step 3: performing exclusive or operation on the binary spectrum of the fft_mic audio and the binary spectrum of the fft_play audio according to the bits to obtain an exclusive or operation result, if the exclusive or operation result is not less than a preset coherence threshold, regarding the first frame of the preset audio file pcm_mic and the first frame of the audio file pcm_play as aligned audio signal frames, recording the aligned audio signal frames as a pair Ji Yinpin frames, finding a pair Ji Yinpin frames, and continuing to execute step 4, wherein the pair Ji Yinpin frames are a group of audio frames and comprise two audio frames. If the exclusive or operation result is smaller than the preset coherence threshold, taking the next frame of the preset audio file pcm_mic as a new pcm_mic audio frame to be aligned, and then jumping to the step 2 until any frame of the preset audio file pcm_mic is compared with any frame of the audio file pcm_play, and the symbol exclusive or operation result is larger than or equal to the preset coherence threshold, so that an aligned audio frame is found and the step 4 is continuously executed, or until a self-checking ending instruction is received. And if Ji Yinpin frames are still not found after the self-checking ending instruction is received, judging that the broadcast video to be detected fails.
In an alternative embodiment, the signal transmission delay between the audio file pcm_play and the preset audio file pcm_mic is calculated based on the aligned audio frames, and the signal transmission delay is the time difference between the playing time of the to-be-detected playing device to start playing the preset audio file pcm_mic and the acquisition time of the sound successfully acquired by the sound acquisition device. For example, the sampling rate of the played preset audio file pcm_mic is 48K, and there are 48 sampling points in 1 millisecond, and if the 96 th sampling data point of mic_fifo is aligned with the 1 st sampling data point of play_fifo, the 96 sampling points are spaced apart, so that it is explained that the two signals are delayed by 2ms, that is, the signal transmission delay between the two is 2ms.
Step 4: and respectively calculating the self-spectrum power density and the cross-spectrum power density of the preset audio file pcm_mic and the audio file pcm_play according to the frames, and calculating the cross-correlation coefficient and the cross-correlation coefficient spectrum of the preset audio file pcm_mic and the audio file pcm_play based on the self-spectrum power density and the cross-spectrum power density. And comparing the cross correlation coefficient of the preset audio file pcm_mic and the audio file pcm_play according to the corresponding aligned audio frames based on the Ji Yinpin frames, judging that the audio playing device to be detected is normal if the preset audio file pcm_mic and the audio file pcm_play are judged to be strongly correlated according to the cross correlation coefficient, judging that the audio playing device to be detected is abnormal if the preset audio file pcm_mic and the audio file pcm_play are judged to be weakly correlated (namely, the correlation is very poor) according to the cross correlation coefficient, and continuously executing the step 5.
The strong correlation or the weak correlation is the prior art, and if the cross correlation coefficient is larger than 0.95, the strong correlation can be considered, and if the cross correlation coefficient is smaller than 0.4, the weak correlation can be represented. If the audio playing device is based on 0.4-0.95, the defect is indicated, and at this time, the step 5 needs to be continuously executed to judge whether the audio playing device to be detected is normal or not.
Step 5: and calculating the audio energy of the audio file pcm_play, wherein if the audio energy is less than the energy threshold value, the energy of the audio collected by the sound collecting device is almost 0 or very small, so that the audio playing equipment to be detected can be judged to have no sound output and cannot be normally played. If the audio energy is more than or equal to a preset energy threshold value, judging the coefficients of a low-frequency part and a high-frequency part in the cross-correlation coefficient spectrum, and if the coefficients of the low-frequency part are smaller than the coefficients of the high-frequency part and smaller than the preset coefficient threshold value, indicating that the audio playing equipment to be detected is in a bass fault, namely only high-frequency output is performed and no bass output is performed; if the coefficient of the high-frequency part is larger than the coefficient of the low-frequency part and smaller than the preset coefficient threshold value, the audio playing device to be detected is indicated to be in a high-pitch fault, namely only low-pitch output is achieved, and no high-pitch output is achieved.
In this step, the coefficient of the high-frequency part means the cross-spectral density of the high-frequency part in the cross-correlation coefficient spectrum. Similarly, the coefficient of the low-frequency part refers to the cross-spectral density of the low-frequency part in the cross-correlation coefficient spectrum.
The invention can judge whether the audio playing device to be detected has sound output or not and judge whether the audio playing device has bass fault or treble fault detection after the sound output is carried out by comparing the collected sound (audio) with the internally played audio, does not need professional detection equipment, has higher detection efficiency, can detect the audio playing device in the process of entering a use state after delivery of the audio playing device leaves a factory, can adapt to scenes such as broadcasting systems with the angles of the audio playing device and scattered (sparse) distribution, and has less and convenient time consumption and time and labor saving.
The embodiment disclosed in the present specification is merely an illustration of one-sided features of the present invention, and the protection scope of the present invention is not limited to this embodiment, and any other functionally equivalent embodiment falls within the protection scope of the present invention. Various other corresponding changes and modifications will occur to those skilled in the art from the foregoing description and the accompanying drawings, and all such changes and modifications are intended to be included within the scope of the present invention as defined in the appended claims.
Claims (8)
1. The method for detecting the fault of the audio playing equipment is characterized by comprising the following steps:
step 1: in response to receiving a self-checking instruction for detection, the audio playing device to be detected plays a preset audio file pcm_mic, and sound output by the audio playing device to be detected plays the preset audio file pcm_mic is collected through a sound collecting device to form an audio file pcm_play;
step 2: taking a first frame of a preset audio file pcm_mic and a first frame of an audio file pcm_play respectively as a pcm_mic audio frame and a pcm_play audio frame to be aligned, respectively carrying out Fourier transform on the pcm_mic audio frame and the pcm_play audio frame to be aligned so as to convert the audio of a time domain into the audio of a frequency domain, respectively obtaining the fft_mic audio and the fft_play audio of the frequency domain,
comparing each sub-band amplitude corresponding to the fft_mic audio and the fft_play audio with a preset threshold value respectively, wherein the sub-band amplitude with the comparison result being greater than or equal to 0 is set as 1, and the sub-band amplitude with the comparison result being less than 0 is set as 0, so that respective binary spectrums of the fft_mic audio and the fft_play audio are obtained, and the binarized frequency spectrum of the played audio file and the binarized frequency spectrum of the audio file acquired by the sound acquisition device are obtained;
step 3: performing exclusive-or operation on the binary spectrum of the fft_mic audio and the binary spectrum of the fft_play audio according to the bits to obtain an exclusive-or operation result, if the exclusive-or operation result is not less than the preset coherence threshold, regarding the first frame of the preset audio file pcm_mic and the first frame of the audio file pcm_play as aligned audio signal frames, recording the aligned audio signal frames as Ji Yinpin frames, finding Ji Yinpin frames, continuing to execute the step 4,
if the exclusive or operation result is smaller than the preset coherence threshold, taking the next frame of the preset audio file pcm_mic as a new pcm_mic audio frame to be aligned, then jumping to the step 2 until any frame of the preset audio file pcm_mic is compared with any frame of the audio file pcm_play, and then, the symbol exclusive or operation result is larger than or equal to the preset coherence threshold, so that an aligned audio frame is found and the step 4 is continuously executed, or until a self-checking end instruction is received, and if Ji Yinpin frames are not found after the self-checking end instruction is received, judging that the broadcast video to be detected has faults;
step 4: the method comprises the steps of respectively calculating the self-spectrum power density and the cross-spectrum power density of a preset audio file pcm_mic and an audio file pcm_play according to frames, calculating the cross-correlation coefficient and the cross-correlation coefficient spectrum of the preset audio file pcm_mic and the audio file pcm_play based on the self-spectrum power density and the cross-spectrum power density, comparing the cross-correlation coefficient of the preset audio file pcm_mic and the audio file pcm_play according to corresponding aligned audio frames based on Ji Yinpin frames, judging that the audio playing device to be detected is normal if the preset audio file pcm_mic and the audio file pcm_play are strongly correlated according to the cross-correlation coefficient, and judging that the audio playing device to be detected is abnormal if the preset audio file pcm_mic and the audio file pcm_play are weakly correlated according to the cross-correlation coefficient.
2. The method for detecting a malfunction of an audio playback apparatus according to claim 1, wherein the sound collection device is directly mounted on the audio playback apparatus to be detected so as to form an integral device with the audio playback apparatus to be detected.
3. The method for detecting a malfunction of an audio playback apparatus according to claim 1, wherein the sound collection device is installed around the audio playback apparatus to be detected to form a separation device with the audio playback apparatus to be detected.
4. The method for detecting a malfunction of an audio playback apparatus according to claim 1, wherein the preset audio file pcm_mic and the audio file pcm_play are stored separately.
5. The method for detecting a malfunction of an audio playback apparatus according to claim 1, wherein the fourier transform uses an FFT short-time fast fourier transform.
6. The method according to claim 1, wherein in step 2, power spectrums of the fft_mic audio and the fft_play audio are calculated, respectively, and sub-band amplitudes of the fft_mic audio and the fft_play audio are calculated by power, and the sub-band amplitudes are frequency amplitudes of the sub-bands, and for the fft_mic audio and the fft_play audio with the number of sampling points N, N-1 sub-band amplitudes are obtained.
7. The method according to claim 1, wherein in step 3, a signal transmission delay between the audio file pcm_play and the preset audio file pcm_mic is calculated based on the aligned audio frames, and the signal transmission delay is a time difference between a playing time when the playback device to be detected starts playing the preset audio file pcm_mic and a sound collection time when the sound collection device successfully collects the sound.
8. The method for detecting a malfunction of an audio playback apparatus according to claim 1, wherein in step 4, after determining that the audio playback apparatus to be detected is abnormal, step 5 is continued,
step 5: calculating the audio energy of the audio file pcm_play, if the audio energy is smaller than an energy threshold, judging that the audio playing equipment to be detected has no sound output and cannot play normally, if the audio energy is larger than or equal to a preset energy threshold, judging the coefficient of a low-frequency part and the coefficient of a high-frequency part in a cross-correlation coefficient spectrum, if the coefficient of the low-frequency part is smaller than the coefficient of the high-frequency part and smaller than the preset coefficient threshold, indicating that the audio playing equipment to be detected has a bass fault, namely only has high-frequency output and has no bass output, and if the coefficient of the high-frequency part is larger than the coefficient of the low-frequency part and smaller than the preset coefficient threshold, indicating that the audio playing equipment to be detected has a treble fault, namely only has low-frequency output and has no treble output.
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| CN115052240A (en) * | 2022-06-14 | 2022-09-13 | 彩音(深圳)数码科技有限公司 | Method and device for automatically detecting active sound box fault, computer equipment and storage medium |
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| KR101700424B1 (en) * | 2016-10-31 | 2017-02-13 | 가락전자 주식회사 | Device and method for detecting abnormal signals to a speaker |
| CN107509153A (en) * | 2017-08-18 | 2017-12-22 | 广东欧珀移动通信有限公司 | Detection method, device, storage medium and the terminal of Audio Players part |
| WO2020107261A1 (en) * | 2018-11-28 | 2020-06-04 | 华为技术有限公司 | Probabilistic silent failure detection method and apparatus |
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