Multi-channel speech enhancement in driving environment

Weiyun Jin, Jie Wei, Xiaofeng Zhong
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Abstract

Speech enhancement algorithms based on microphone array have been applied to intelligent speech communication systems, such as vehicle systems, teleconferencing and hearing aids. This paper proposed an improved generalized sidelobe canceller(GSC) algorithm to eliminate the intense noise interference of the speech, which is recorded in the driving environment. First, it introduced low-frequency suppression; then, it utilized source location to improve the blocking matrix, thus effectively reducing the speech leakage; finally, the multi-band spectral subtraction algorithm was combined for denoising model. Experimental results show that the proposed microphone array based speech enhancement method has a significant performance in terms of both SNR and intelligibility.
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驾驶环境下的多通道语音增强
基于麦克风阵列的语音增强算法已经应用于智能语音通信系统,如车载系统、电话会议和助听器。本文提出了一种改进的广义旁瓣抵消(GSC)算法,用于消除驾驶环境中录制的语音的强烈噪声干扰。首先,引入了低频抑制;然后利用信源定位对分组矩阵进行改进,有效降低了语音泄漏;最后,结合多波段谱减法对模型进行去噪。实验结果表明,所提出的基于麦克风阵列的语音增强方法在信噪比和可理解性方面都有显著的性能。
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