Method and device for extracting voice signal of desired sound source

Abstract

The invention relates to the audio processing technology, in particular to a method and device for extracting a voice signal of a desired sound source. The method and device for extracting the voice signal of the desired sound source is used for ensuring the voice recognition rate without increasing hardware costs. The method for extracting the voice signal of the desired sound source comprises the following steps: obtaining the existence probability of the desired sound source and position information of the desired sound source based on relevant characteristics of corresponding voice signalsreceived through at least two microphones; then obtaining a preset target separation coefficient; and extracting the voice signal of the desired sound source from at least two voice signals of the corresponding the voice signals by using the target separation coefficient. Thus, since a stable corresponding relationship is preset between the position information and a target separation system, a stable direction can be formed based on the position information; therefore, the corresponding target separation coefficient is obtained quickly, and the voice signal of the desired sound source is extracted quickly and accurately from the reverberation environment; and therefore, the voice recognition rate in interference environments is greatly improved without increasing the hardware costs.

Description

technical field [0001] The invention relates to audio processing technology, in particular to a method and device for extracting a desired sound source voice signal. Background technique [0002] In the prior art, in the process of collecting voice signals, in order to improve data accuracy, dual microphones are usually used to extract voice signals from a desired sound source. [0003] However, there are usually other sources of interference around the desired sound source; for example, assuming that in a meeting scene, while the speaker serving as the desired sound source is speaking, other people participating in the meeting will also participate in comments. At this time, both microphones will simultaneously collect the speech signal of the desired sound source and the speech signals of other sources. Then, how to identify the speech signal of the desired sound source from the received signals of the two microphones has become an urgent problem to be solved. [0004] Cu...

AI Technical Summary

Problems solved by technology

[0009] With the above solution, due to the need to perform ICA processing, the amount of calculation is very large, resulting in huge power consumption, therefore, an advanced voice processing engine is required to perform matching processing

[0010] However, the hardware cost of an advanced speech processing engine is very high, and it is not universal. If an ordinary speech processing engine is used instead, it may not be able to support such a complex processing process, resulting in the inability to correctly identify the speech signal of the desired sound source. Affects the speech recognition rate, thereby reducing the quality of service

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