Method for eliminating nonuniform noise in speech collected by radar

A radar and speech technology, applied in the field of speech processing, can solve the problems of loss, residual noise of radar speech, etc.

Inactive Publication Date: 2014-05-07
URUMQI GENERAL HOSPITAL LANZHOU MILITARY AREA CHINESE P L A
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Problems solved by technology

Therefore, the radar speech processed by the classic Wiener filter speech enhancement algorithm based on constant noise estimation usually has the problem of residual noise or speech loss.

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  • Method for eliminating nonuniform noise in speech collected by radar
  • Method for eliminating nonuniform noise in speech collected by radar
  • Method for eliminating nonuniform noise in speech collected by radar

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Embodiment Construction

[0044] Embodiments of the present invention will be further described below in conjunction with the accompanying drawings.

[0045] Wiener filtering is a relatively basic algorithm that introduces less musical noise, and many different algorithms are closely related to Wiener filtering.

[0046] Signal y(n) is a noisy speech signal, while s(n) and d(n) are pure speech signal and additional noise signal respectively. Noisy speech is represented as follows:

[0047] y(n)=s(n)+d(n)………………………………………………(1)

[0048] Through the short-time fast Fourier transform (SFFT), the above formula becomes:

[0049] Y(u,v)=S(u,v)+D(u,v)………………………………………………(2) In the above formula, Y(u, v), S(u, v), D(u, v) are the short-term spectrum estimates of y(n), s(n) and d(n) at time frame u and frequency point v, respectively.

[0050] Enhanced speech signal of a certain frame It can be obtained by the product of the filter H(u, v) and the noisy speech signal:

[0051] S ...

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Abstract

The invention discloses a method for eliminating nonuniform noise in speech collected by radar. The method comprises the steps that data windowing is carried out on a noisy radar speech signal y(n); according to a given decomposition scale, discrete wavelet transform (DWT) decomposition is carried out on the speech signal; wavelet entropy (WE) calculation is carried out; noise estimation is carried out based on dynamically-updated wavelet entropy (WE); and according to the updated noise estimation, Wiener filtering is used to enhance the speech signal. According to the invention, dynamic advantages of wavelet entropy noise estimation and advantages of Wiener filtering are combined to form a wavelet entropy Wiener filtering speech enhancement algorithm, thus nonuniform colored noise of radar speech can be effectively filtered out.

Description

technical field [0001] The invention relates to a method for processing voice collected by a radar voice sensor, in particular to a method for eliminating uneven noise in the voice collected by radar. Background technique [0002] At present, microphones that detect sound signals based on different media are widely used in different fields. Among them, according to the Doppler effect, a radar voice sensor that uses radar waves as a medium to collect sound signals has been developed. The voice collected by the voice sensor is directional and can be used independently. Interferenced by surrounding noise, the voice collection distance can reach up to 100m, and it has penetrability, which can penetrate a certain thickness of non-metallic materials to collect voice signals, expanding the functions of traditional microphones. However, the speech signal collected by the radar speech sensor contains a large amount of complex non-uniform electronic noise, which seriously affects the ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G10L21/0208G10L21/0216
Inventor 焦明克楼林耿西亮焦琳张鹏王忠明张昆峰
Owner URUMQI GENERAL HOSPITAL LANZHOU MILITARY AREA CHINESE P L A
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