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Blind Separation of Speech Signals Based on Variable Step Size Natural Gradient Algorithm

A natural gradient algorithm, a technology of speech signals, applied in speech analysis, instruments, etc., can solve the problems of inability to recognize noise, inability to complete speech signals, distortion, etc., and achieve the effect of fast separation, accurate and stable separation effect

Active Publication Date: 2017-10-03
HARBIN ENG UNIV
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Problems solved by technology

[0004] In the noisy environment, the existing separation algorithm itself cannot recognize the noise, and the speech signal separated by the noise is either unable to be completed or distorted, but the various separation algorithms of the theoretical research on speech signal separation in the absence of noise environment have achieved satisfactory results. Effect

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  • Blind Separation of Speech Signals Based on Variable Step Size Natural Gradient Algorithm
  • Blind Separation of Speech Signals Based on Variable Step Size Natural Gradient Algorithm
  • Blind Separation of Speech Signals Based on Variable Step Size Natural Gradient Algorithm

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Embodiment Construction

[0018] The following examples describe the present invention in more detail.

[0019] 1. Acquisition of voice mixed signal

[0020] According to the sampling theorem: the sampling frequency should be greater than or equal to twice the maximum frequency of the original signal. The frequency range of voice is 0~4kHz, so the minimum sampling frequency for voice signal is 8kHz, so the distance between any two microphones should satisfy where c is the speed of sound in air, f max =4kHz is the maximum frequency of the voice signal. In the process of collecting voice signals, the spatial position of the microphones is placed arbitrarily, but the distance between any two microphones is greater than 4.25cm. The collected analog voice signals are converted into digital voice signals through 8kHz sampling frequency. The digital signal of the i-th microphone is m i =[m i (1),...,m i (N)], N is the number of sampling points of the signal, and the signals collected by all microphones...

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Abstract

The invention provides a voice signal blind separation method based on a variable step size natural gradient algorithm. (1) collect the mixed voice signal of multiple voices with the voice signal acquisition device, and the number of microphones is more than or equal to the number of speakers; (2) preprocess the mixed voice signal collected, including: adopting LMS digital filter, removing the mean value Whitening processing with decorrelation, and then get a mixed speech signal with zero mean value and high signal-to-noise ratio that is irrelevant to each source; (3) Using the variable step size natural gradient algorithm based on the gradient factor to adjust the step size to recover from the mixed human voice Estimation of the sound of each sound source. The invention not only can separate real mixed voice signals, but also has fast separation speed, accurate and stable separation effect.

Description

technical field [0001] The present invention relates to a speech signal processing method, in particular to a blind separation algorithm of multi-sound source mixed signal variable step size natural gradient, and a separation system of mixed speech signals obtained thereby. Background technique [0002] Blind source separation is an emerging research field that developed rapidly at the end of the 20th century. As a new data processing method, it is the product of the combination of artificial neural network, statistical signal processing, information theory, and computer, and has become an important part of some of the above fields. It has played an important role in the important topics of development and development, especially in the applications of biomedicine, speech signal processing, image processing, remote sensing, radar and communication systems. [0003] In the field of speech signal processing, the current speech recognition and noise reduction enhancement algori...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G10L21/0272
Inventor 吕淑平张成
Owner HARBIN ENG UNIV
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