摘要: Source extraction in audio is an important problem the study of blind source separation (BSS) with many practical applications. It a challenging when foreground sources to be extracted are weak compared background sources. Traditional techniques often do not work this setting. In paper we propose novel technique for extracting foreground This achieved by interval silence for the foreground Using one can learn information, allowing removal or suppression Very effective optimization schemes are proposed case two sources and mixtures.
core.ac.uk
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