Microphone array speech denoising enhancement method with low signal-to-noise ratio effect

Abstract

The invention provides a microphone array speech denoising enhancement method with a low signal-to-noise ratio effect. The microphone array speech enhancement algorithm based on improved perfect binary time-frequency masking of human ears solves the problem of poor performance of a microphone array speech enhancement algorithm in the prior art under the condition of low signal-to-noise ratio, themasking effect of the human ears is skillfully added to the microphone array speech denoising enhancement algorithm. Firstly, a primary-order acquisition enhanced voice signal is acquired, then a pre-estimation noise signal is judged according to a noisy signal and the primary-order acquisition enhanced voice signal, a threshold value is set through a signal-to-noise ratio relationship between primary-order voice acquisition enhancement and judged pre-estimation noise, a perfect binary time-frequency masking algorithm is calculated, and the enhanced voice signal is synthesized. The speech signal enhanced by the algorithm is higher in intelligibility and better in sound quality, and the performance advantage is more obvious under the scene of larger noise intensity and low signal-to-noise ratio.

Description

technical field [0001] The invention relates to a microphone array voice denoising and enhancing method, in particular to a microphone array voice denoising and enhancing method characterized by low signal-to-noise ratio, and belongs to the technical field of voice denoising and enhancing. Background technique [0002] The quality of sound is a key factor that determines the efficiency of human-to-human communication, or even human-to-machine interaction. In various real-world environments, human beings will inevitably be affected by various The interference of noise is weakened, and then affects the effect and quality of communication to varying degrees. For example, the inherent electrical noise of communication electronic equipment, background noise from the surrounding environment, reverberant echo in the room, and noise brought by the transmission medium can all affect voice. Severe interference, the quality of voice communication cannot be effectively guaranteed, resul...

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Problems solved by technology

[0007] Aiming at the deficiencies of the prior art, the microphone array voice denoising enhancement method with low signal-to-noise ratio provided by the present invention is based on the improved human ear perfect binary time-frequency masking microphone array voice enhancement algorithm, which solves the problem of microphone array voice enhancement in the prior art. The performance of the array speech enhancement algorithm is poor in the case of low signal-to-noise ratio. The masking effect of the human ear is cleverly added to the microphone array speech denoising enhancement algorithm. Judging and predicting the noise signal from the noisy signal and the speech signal enhanced by primary acquisition, setting the threshold through the signal-to-noise ratio relationship between the enhancement of primary speech collection and judging the estimated noise, calculating the perfect binary time-frequency masking algorithm and synthesizing the enhanced voice signal

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