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Robust underdetermined blind audio source separation of sparse signals in the time-frequency domain

Si Mohamed Aziz Sbai 1, 2 Abdeldjalil Aissa El Bey 3, 1 Dominique Pastor 4, 1
3 Lab-STICC_TB_CACS_COM
Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (UMR 3192)
4 Lab-STICC_TB_CID_TOMS
Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance
Abstract : We address the problem of blind source separation in the underdetermined and instantaneous mixture case. The proposed method is based on an algorithm developed by Aissa-El-Bey and al.. This algorithm requires a good choice of the noise threshold and does not take into account the noise contribution in the inversion process. In order to overcome these drawbacks, this paper presents a robust underdetermined blind source separation approach. Robustness is achieved by estimating the noise standard deviation and using this estimate in the inversion process and the expression of the noise threshold. The good performance of the proposed method is shown by comparison with state-of-the-art methods.
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Conference papers
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https://hal.archives-ouvertes.fr/hal-00609318
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Submitted on : Monday, July 18, 2011 - 5:58:55 PM
Last modification on : Monday, October 11, 2021 - 2:23:30 PM

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  • HAL Id : hal-00609318, version 1

Citation

Si Mohamed Aziz Sbai, Abdeldjalil Aissa El Bey, Dominique Pastor. Robust underdetermined blind audio source separation of sparse signals in the time-frequency domain. ICASSP 2011: 36th IEEE International Conference on Acoustics, Speech, and Signal Processing, May 2011, Prague, Czech Republic. ⟨hal-00609318⟩

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