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Conference papers
Sparsity and low-rank amplitude based blind Source Separation
Abstract : This paper presents a new method for blind source separation problem in reverberant environments with more sources than microphones. Based on the sparsity property in the time-frequency domain and the low-rank assumption of the spectrogram of the source, the STRAUSS (SparsiTy and low-Rank AmplitUde based Source Separation) method is developed. Numerical evaluations show that the proposed method outperforms the existing multichannel NMF approaches, while it is exclusively based on amplitude information.
Cited literature [25 references]
https://hal.archives-ouvertes.fr/hal-01547459
Contributor : Matthieu Kowalski <>
Submitted on : Monday, June 26, 2017 - 5:05:56 PM
Last modification on : Wednesday, September 16, 2020 - 4:46:33 PM
Long-term archiving on: : Wednesday, January 17, 2018 - 7:17:16 PM
Contributor : Matthieu Kowalski <>
Submitted on : Monday, June 26, 2017 - 5:05:56 PM
Last modification on : Wednesday, September 16, 2020 - 4:46:33 PM
Long-term archiving on: : Wednesday, January 17, 2018 - 7:17:16 PM
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FK_icassp17.pdf
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