Speaker localization and speech separation using Phase Difference versus Frequency distribution

Ning Ding, N. Hamada
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引用次数: 1

Abstract

This paper proposes a novel sparse source separation method using a pair of microphones. The method is based on time-frequency (T-F) decomposition, applies the weighted Hough transform to the Phase Difference (PD) versus Frequency (PD-F) distribution of received mixture signals, and estimates source directions. Then, the estimated source directions and harmonic structure are used to separate the mixture signals. The effectiveness of the proposed method is shown through experiments in real acoustic circumstances.
使用相位差与频率分布的说话人定位和语音分离
提出了一种利用一对传声器进行稀疏源分离的新方法。该方法基于时频(T-F)分解,对接收到的混合信号的相位差(PD)与频率(PD- f)分布进行加权霍夫变换,并估计源方向。然后,利用估计的源方向和谐波结构分离混合信号。在实际声学环境下的实验证明了该方法的有效性。
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