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Time Domain Method for Precise Estimation of Sinusoidal Model Parameters of Co-Channel Speech

机译:精确估计共道语音正弦模型参数的时域方法

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摘要

A time domain method to precisely estimate the sinusoidal model parameters of cochannel speech is presented. The method does not require the calculation of the Fourier transform nor the multiplication by a window function. It incorporates a least-squares estimator and an iterative technique to model and separate the cochannel speech into its individual speakers. The application of this method on speech data demonstrates the effectiveness of this method in separating cochannel speech signals in different target-to-interference ratios. This method is capable of producing accurate and robust parameter estimation in low signal-to-noise ratio situations compared to other existing algorithms.
机译:提出了一种时域精确估计同信道语音正弦模型参数的方法。该方法不需要傅里叶变换的计算,也不需要窗函数的乘法。它结合了最小二乘估计器和迭代技术,可以将同频道语音建模并分离为各个扬声器。该方法在语音数据上的应用证明了该方法在分离具有不同目标干扰比的同信道语音信号方面的有效性。与其他现有算法相比,该方法能够在低信噪比的情况下产生准确而可靠的参数估计。

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