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Convolutive blind source separation with low latency

机译:低延迟的卷积盲源分离

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In this paper we present a convolutive blind source separation (BSS) method using crossband filtering in the short-time Fourier transform (STFT) domain. It overcomes a major limitation of the time-frequency (TF) domain BSS algorithms, which is that the window length for the STFT must be at least twice the length of the room impulse response. This makes it more appropriate to real-time applications, which require short system latency. Our experimental results show that the new method can be integrated with any TF-domain BSS algorithms and achieves better performance.
机译:在本文中,我们提出了一种在短时傅立叶变换(STFT)域中使用跨带滤波的卷积盲源分离(BSS)方法。它克服了时频(TF)域BSS算法的主要局限性,即STFT的窗口长度必须至少是房间脉冲响应长度的两倍。这使其更适合于需要短系统延迟的实时应用程序。我们的实验结果表明,该新方法可以与任何TF域BSS算法集成,并获得更好的性能。

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