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Squeal detection method based on long time signal specific frequency band change rate

A technology with a specific frequency band and detection method, applied in frequency response correction, speech analysis, instruments, etc., can solve the problem of high false alarm rate and achieve low false alarm rate and good comprehensive detection performance

Inactive Publication Date: 2017-04-05
TIANJIN UNIV
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  • Abstract
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Problems solved by technology

[0009] However, the existing notch filter howling suppression method has the problem of high false alarm rate.

Method used

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  • Squeal detection method based on long time signal specific frequency band change rate
  • Squeal detection method based on long time signal specific frequency band change rate
  • Squeal detection method based on long time signal specific frequency band change rate

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Embodiment Construction

[0035] The following describes in detail a howling detection method of the present invention based on the rate of change of a specific frequency band of a long-term signal with reference to the embodiments and drawings.

[0036] Such as figure 1 As shown, the method for detecting howling based on the rate of change of a specific frequency band of a long-term signal of the present invention includes the following steps:

[0037] 1) Windowing and framing the input signal to be detected, that is, truncating and framing the data of the signal to be detected;

[0038] 2) Use discrete Fourier transform to calculate the power spectrum of the signal to be detected:

[0039]

[0040] Among them, S x (n,w k ) Is the nth frame signal at frequency w k Power spectrum at, N W Is the signal length of each frame, N SH Is the moving length of each frame of signal, l is the data index value of each frame, the value range is l=0,1,2,...,N W -1, x(nN SH +l) is the value of the lth sampling point of the ...

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Abstract

A squeal detection method based on a long time signal specific frequency band change rate comprises the following steps: windowing and framing an inputted tested signal, i.e., segmenting and framing the data of the tested signal; using discrete Fourier transformation (DFT) to calculate a power spectrum of the tested signal; calculating spectrum entropy; determining a candidate squeal frequency; calculating the long time signal specific frequency band change rate; using the long time signal specific frequency band change rate to carry out detection determination, determining the squeal is formed if the long time signal specific frequency band change rate is smaller than a set detection threshold, otherwise, determining the squeal is not formed. Compared with a conventional squeal detection method, the squeal detection method based on the long time signal specific frequency band change rate can provide the same detection rate with lower false alarm rate and better integration detection performance.

Description

Technical field [0001] The invention relates to a howling detection method. In particular, it relates to a howling detection method based on the rate of change of a specific frequency band of a long-term signal. Background technique [0002] Acoustic feedback is a common phenomenon in sound reinforcement systems, which severely restricts the development of sound reinforcement technology. The phenomenon of acoustic feedback means that in the sound reinforcement system, the sound is picked up by the microphone, amplified by the power amplifier, output by the speaker, refracted by the sound field and returned to the microphone, and then picked up by the microphone and then output by the speaker through the sound reinforcement system, forming a "speaker" -Microphone-amplifier-speaker" such a positive feedback path, such repeated cycles form positive feedback. Due to the existence of acoustic feedback, the system becomes unstable when the sound reinforcement gain reaches a certain va...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G10L21/0232G10L21/0264G10L25/21H04R3/04
CPCG10L21/0232G10L21/0264G10L25/21H04R3/04
Inventor 张涛李康康
Owner TIANJIN UNIV
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