Informed Group-Sparse Representation for Singing Voice Separation
نویسندگان
چکیده
منابع مشابه
Bayesian Singing-Voice Separation
This paper presents a Bayesian nonnegative matrix factorization (NMF) approach to extract singing voice from background music accompaniment. Using this approach, the likelihood function based on NMF is represented by a Poisson distribution and the NMF parameters, consisting of basis and weight matrices, are characterized by the exponential priors. A variational Bayesian expectationmaximization ...
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The decomposition of a monaural audio recording into musically meaningful sound sources or voices constitutes a fundamental problem in music information retrieval. In this paper, we consider the task of separating a monaural piano recording into two sound sources (or voices) that correspond to the left hand and the right hand. Since in this scenario the two sources share many physical propertie...
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Songs are representation of audio signal and musical instruments. An audio signal separation system should be able to identify different audio signals such as speech, background noise and music. In a song the singing voice provides useful information regarding pitch range, music content, music tempo and rhythm. An automatic singing voice separation system is used for attenuating or removing the...
متن کاملSinging Voice Separation from Monaural Recordings
Separating singing voice from music accompaniment has wide applications in areas such as automatic lyrics recognition and alignment, singer identification, and music information retrieval. Compared to the extensive studies of speech separation, singing voice separation has been little explored. We propose a system to separate singing voice from music accompaniment from monaural recordings. The ...
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ژورنال
عنوان ژورنال: IEEE Signal Processing Letters
سال: 2017
ISSN: 1070-9908,1558-2361
DOI: 10.1109/lsp.2017.2647810