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Research on Speech Enhancement Method Based on Spherical Microphone Array Beamforming

Author: WuTao
Tutor: WangDongXia
School: Liaoning University of Technology
Course: Communication and Information System
Keywords: speech enhancement near-field spherical microphone array chebyshev beamforming radial filtering
CLC: TN912.35
Type: Master's thesis
Year: 2012
Downloads: 96
Quote: 0
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Abstract


In the actual environment, the speech signal received by a microphone is inevitably corrupted by the interference, noise, reverberation and other factors, which may affect the speech quality and cause the degradation of speech processing system. Microphone array has become a important method to catch the speech and improve its quality in the intelligent communication system and has recently been a research focus on speech enhancement technology, duing to inosculating the spatial information of desired signal, noise and interference, with higher spatial resolution and signal gain.The wavefront of sound source is assumed planar in most research on microphone array, which simplifies the processing algorithms. However, in some near-field applications such as the car,videoconference and so on, the plane wave assumption may not hold. Considering good symmetry, rotating characteristics and spherical harmonic orthogonality of spherical microphone array, a research based on the speech enhancement method of spherical microphone array is presented.Based on the analysis of the spherical microphone array, beamforming and other basic theory, this paper studies the problem that speech enhancement methods based on the conventional microphone array beamforming can not achieve interference suppression effectively when desired source and interference have both the same direction and frequency. Combining the spherical microphone array with chebyshev beamforming, a radial filtering method based on the spherical microphone array and chebyshev beamforming to suppress interference is presented, achieving speech enhancement. Simulation results show that the method is effective to a certain extent.

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CLC: > Industrial Technology > Radio electronics, telecommunications technology > Communicate > Electro-acoustic technology and speech signal processing > Speech Signal Processing > Speech Enhancement
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