Post-processing for crosstalk cancellation in convolutive BSS outputs based on pitch frequency

Hasti Shabani, T. Noohi, M. Kahaei
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Abstract

We propose a novel method to determine crosstalk regions based on the pitch frequency in convolutive blind audio source separation. Since the same pitch frequency in a frame of BSS outputs represents one speaker talking in all separated speech signal, all signals except the speaker's signal contain the crosstalk in that frame. These frames are used in our post-processing algorithm to estimate the crosstalk. Simulation results show that the proposed algorithm successfully suppresses the crosstalk by improving the SIR of BSS outputs about 10.6 dB with adding no distortion to the separated signals.
基于基音频率的卷积BSS输出串扰消除后处理
提出了一种基于基音频率的卷积盲音源分离串扰区域确定方法。由于BSS输出的一帧中相同的音高频率表示一个说话者在所有分离的语音信号中说话,因此除了说话者的信号之外的所有信号都包含该帧中的串扰。在我们的后处理算法中使用这些帧来估计串扰。仿真结果表明,该算法在不增加分离信号失真的情况下,将BSS输出的SIR提高了10.6 dB左右,成功地抑制了串扰。
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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