A method and device for noise elimination

Abstract

This invention discloses a noise elimination device and method, which uses two microphones to form two zero point along front and back heart shape microphone to make the main microphone one path of signals composed of aim sound and the other path of signal main comprises noise and then adopts frequency area self-adapting filter; through adjusting filter gains to control whole device wave beam indication range; finally through single channel to remove noise to delete main microphone signal noises.

Description

technical field [0001] The invention relates to the field of audio processing, in particular to a noise elimination device and method. technical background [0002] In addition to the target voice signal, the sound received by the microphone often also includes noises such as background vocals and background music. The methods of noise elimination in the prior art are mainly divided into two methods: single-microphone de-noising and multi-microphone, that is, microphone array de-noising. [0003] The single-microphone denoising method can achieve better results in specific application scenarios. The denoising principle generally uses the difference between the target speech and noise components in the time-frequency domain to eliminate noise. For example, it is generally believed that the noise signal The characteristics change relatively slowly for speech signals. Therefore, for the general case, this algorithm has the following disadvantages: [0004] 1) When the noise ...

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Problems solved by technology

[0005] 2) When the signal-to-noise ratio is low (such as lower than 0), the denoising effect is not obvious;

[0006] 3) Musical noise may be introduced, which is in the process of noise elimination, so a compromise needs to be made between maintaining voice quality and suppressing noise

[0011] The third method is a combined method of a unidirectional microphone and an omnidirectional microphone. Existing solutions often directly use these two signals for adaptive filtering. Since the two signals contain strong voice components, the voice quality will deteriorate. declined

[0012] To sum up, the existing dual-microphone denoising method does not perform well in noise elimination, and while eliminating noise, it will cause the degradation of the target voice quality

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