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

机译:混响环境中用于语音信号DOA估计的倒谱预滤波方法

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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.
机译:提出了一种时空混响去混响方法,用于减小房间脉冲响应(RIR)的最小相位分量(MPC)。本文表明,可以从将未知RIR与未知语音信号卷积的观察信号中消除RIR的声道和声门成分以及MPC。通过多信号分类(MUSIC)程序,将提升后的序列应用于到达方向(DOA)估计器。计算机仿真证明了我们的倒谱预滤波方法的优越性。

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