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Sonic boom detection method and device

A detection method and popping sound technology, which is applied in speech analysis, speech synthesis, instruments, etc., can solve the problems of inaccurate popping sound location and waste of manpower, and achieve the effect of accurate detection and saving human resources

Active Publication Date: 2014-11-12
TENCENT TECH (SHENZHEN) CO LTD +1
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this method wastes a lot of manpower, and sometimes the position of the pop sound detected is not very accurate

Method used

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  • Sonic boom detection method and device
  • Sonic boom detection method and device
  • Sonic boom detection method and device

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Embodiment Construction

[0028] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0029] In the spectrogram of the speech signal, if there is a burst in the time period from 2.45 seconds to 2.48 seconds. Based on the definition of boom, it can be known that the voice signal energy in each frequency band is relatively high from 2.45 seconds to 2.48 seconds. From the spectrogram, it can be seen intuitively that there is a "straight bright column" between 2.45 seconds and 2.48 seconds, such as figure 1 shown.

[0030] That is to say, the presence of a "bright column" in the spectrogram of the speech signal can detect the presence of a pop.

[0031] Based on the above ideas, the present invention provides figure 2 The method flow shown:

[0032] see figure 2 , figure 2 The flow chart of the method provided by the embodiment...

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PUM

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Abstract

The invention provides a sonic boom detection method and device. The method includes the steps that a section of voice signals to be detected are divided into a plurality of voice frames, fast Fourier transform processing is carried out on each voice frame, a frequency domain energy value at each frequency point in a full frequency band of each voice frame undergoing fast Fourier transform processing is calculated, the average energy value of the full frequency band of each voice frame is calculated according to the frequency domain energy value of the corresponding voice frame at each frequency point, a low-frequency-band average energy value of each voice frame is calculated, clustering analysis is carried out on the low-frequency-band average energy values of all the voice frames, a powerful energy value range is determined according to the clustering results, whether the average energy value of the full frequency band of each voice frame is within the powerful energy value range is detected, when the average energy value of the full frequency band of at least one voice frame is within the powerful energy value range, it is determined that the section of the voice signals to be detected are sonic booms, and otherwise it is determined that the section of the voice signals are not sonic booms. Accordingly, the sonic booms can be automatically detected in the section of voice signals and manpower resources are saved.

Description

technical field [0001] The present application relates to voice detection, in particular to a method and device for detecting popping sounds. Background technique [0002] In order to make the application easy to understand, the technical terms involved in the application will be described below: [0003] Popping sound: A very harsh sound. From the spectrogram, it is a speech with high energy values ​​in each frequency band. [0004] Spectrogram: The horizontal axis represents the time of the speech, the vertical axis represents the frequency, and the color represents the energy value of each frequency point at each time point. The larger the energy value, the darker the color, and the smaller the energy value, the lighter the color. [0005] The technical terms involved in this application have been described above. [0006] At present, the detection of pops in speech is mostly done manually, mainly by the human ear listening to a large number of speech signals to find th...

Claims

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Application Information

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IPC IPC(8): G10L25/78G10L25/51
CPCG10L21/0216G10L13/02G10L25/21G10L25/84G10L25/87
Inventor 吴小平
Owner TENCENT TECH (SHENZHEN) CO LTD
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