Bayesian Nonparametric Approach to Blind Separation of Infinitely Many Sparse Sources
نویسندگان
چکیده
SUMMARY This paper deals with the problem of underdetermined blind source separation (BSS) where the number of sources is unknown. We propose a BSS approach that simultaneously estimates the number of sources, separates the sources based on the sparseness of speech, estimates the direction of arrival of each source, and performs permutation alignment. We confirmed experimentally that reasonably good separation was obtained with the present method without specifying the number of sources.
منابع مشابه
Blind Separation of Infinitely Many Sparse Sources
This paper deals with the problem of underdetermined blind source separation (BSS) where the number of sources is unknown. We propose a BSS approach that simultaneously estimates the number of sources, separates the sources based on the sparseness of speech, and performs permutation alignment. We confirmed experimentally that reasonably good separation was obtained with the present method witho...
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عنوان ژورنال:
- IEICE Transactions
دوره 96-A شماره
صفحات -
تاریخ انتشار 2013