A cepstrum prefiltering approach for DOA estimation of speech signal in reverberant environments

Ryudo Nagase, K. Oishi, T. Furukawa
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引用次数: 2

Abstract

A time-quefrency dereverberation method for reducing the minimum-phase component (MPC) of the room impulse response (RIR) is presented. This paper shows that the vocaltract and glottal components and the MPC of the RIR can be eliminated from observed signals convolving the unknown RIR with an unknown voiced speech signal. The liftered sequence is applied to direction-of-arrival (DOA) estimator with the multiple signal classification (MUSIC) procedure. Computer simulations demonstrate the superiority of the our cepstral prefiltering approach.
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混响环境下语音信号DOA估计的倒频谱预滤波方法
提出了一种降低房间脉冲响应最小相位分量(MPC)的时频去噪方法。本文表明,通过将未知的RIR与未知的语音信号进行卷积,可以从观察到的信号中消除声道和声门分量以及RIR的MPC。用多信号分类(MUSIC)方法将提升后的序列应用于到达方向估计器。计算机仿真证明了倒谱预滤波方法的优越性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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