Single microphone noise suppression method and device

Abstract

The invention discloses a single-microphone noise suppression method and device. The method includes: obtaining a noise suppression gain function according to the odd-even sequence spectrum signal of the observation signal received by a single microphone; using the noise suppression gain function to perform noise reduction filtering on the spectrum signal of the observation signal to obtain a target speech spectrum signal ; Perform time-domain transformation on the target speech spectrum signal to obtain the target speech signal. The present invention designs a noise suppression gain function of a noise reduction filter through the odd-even sequence spectrum signal of the observation signal received by a single microphone, and uses it to filter the spectrum signal of the observation signal containing noise to adaptively suppress the coherence of the operating environment With incoherent noise and scattered noise, the enhancement of the speech signal in the observation signal received by a single microphone is realized.

Description

technical field [0001] The present invention relates to the field of communication technologies, and in particular, to a method and device for suppressing noise from a single microphone. Background technique [0002] The environment in which the conference communication system operates is extremely numerous and complex, and the voice signal picked up by the microphone of the client usually contains environmental noise interference. The existence of such noise interference seriously affects the quality of the conference call. Therefore, it is necessary to suppress these noise interferences to improve the call quality of the conference communication system. [0003] At present, among the noise-containing speech signal enhancement techniques based on a single microphone, the most famous single-microphone noise reduction techniques are spectral subtraction, Wiener filtering method and MMSE (Minimum Mean Squared Error) method, all of which use The power spectrum of the noise is ...

AI Technical Summary

Problems solved by technology

Although the performance of the multi-channel noise reduction algorithm based on the microphone array can be further improved by increasing the number of microphones in the array, a large number of microphones means that the computational complexity of the beamforming algorithm increases sharply, making it difficult to use existing Realized on a commercial DSP (Digital Signal Processor, digital signal processor) chip

In addition, beamforming algorithms have good filtering or suppression capabilities for coherent directional noise sources in the environment in which the microphone array operates, but generally poor suppression for incoherent noise, so the amount of noise suppression by the beamformer is limited by incoherent noise

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