Robust Non-negative Matrix Factorization with β-Divergence for Speech Separation
نویسندگان
چکیده
منابع مشابه
Itakura-Saito Divergence Non Negative Matrix Factorization with Application to Monaural Speech Separation
Monaural source separation is an interesting area that has received much attention in the signal processing community as it is a pre-processing step in many applications. However, many solutions have been developed to achieve clean separation based on Non-Negative Matrix Factorization (NMF). In this work, we proposed a variant of Itakura-Saito Divergence NMF based on source filter model that ca...
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ژورنال
عنوان ژورنال: ETRI Journal
سال: 2017
ISSN: 1225-6463
DOI: 10.4218/etrij.17.0115.0122