Speech Enhancement Techniques Based on Microphone Arrays and Deep Learning

This paper combines the practical application requirements, studies the characteristics and basic principles of the single speech signal noise environment, with the signal frame structure as the basis of the object, proposed the use of microphone arrays and deep learning combined method of denoising voice signals in complex environments enhancement, through the simulation of the experimental results and the original signal for comparison, verified through the combination of the microphone arrays and deep learning method of voice signal enhancement feasibility, to provide theoretical support and experimental basis for subsequent voice noise reduction. Through the simulation experimental results and the comparison with the original signal, the feasibility of the combination of microphone array and deep learning method for speech signal enhancement is verified, which provides theoretical support and experimental basis for the subsequent speech noise reduction.