期刊
IEEE TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING
卷 15, 期 1, 页码 1-12出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TASL.2006.876726
关键词
convolutive bases; nonnegative matrix factorization; source separation
In this paper, we present a convolutive basis decomposition method and its application on simultaneous speakers separation from monophonic recordings. The model we propose is a convolutive version of the nonnegative matrix factorization algorithm. Due to the nonnegativity constraint this type of coding is very well suited for intuitively and efficiently representing magnitude spectra. We present results that reveal the nature of these basis functions and we introduce their utility in separating monophonic mixtures of known speakers.
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