Estimating the Number of Sources for Frequency-Domain Blind Source Separation

Author:

Sawada Hiroshi,Winter Stefan,Mukai Ryo,Araki Shoko,Makino Shoji

Publisher

Springer Berlin Heidelberg

Reference14 articles.

1. Blind source separation,2000

2. Hyvärinen, A., Karhunen, J., Oja, E.: Independent component analysis. John Wiley & Sons, Chichester (2001)

3. Rickard, S., Balan, R., Rosca, J.: Blind source separation based on space-timefrequency diversity. In: Proc. ICA 2003, pp. 493–498 (2003)

4. Matsuoka, K., Nakashima, S.: Minimal distortion principle for blind source separation. In: Proc. ICA 2001, pp. 722–727 (2001)

5. Douglas, S.C., Sun, X.: Convolutive blind separation of speech mixtures using the natural gradient. Speech Communication 39, 65–78 (2003)

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1. Blind Source Separation;Proceedings of the 9th International Conference on Computer and Automation Engineering - ICCAE '17;2017

2. Blind Source Separation Using Dodecahedral Microphone Array under Reverberant Conditions;IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences;2011

3. Permutation Correction in the Frequency Domain in Blind Separation of Speech Mixtures;EURASIP Journal on Advances in Signal Processing;2006-04-09

4. Blind Source Separation of Convolutive Mixtures of Audio Signals in Frequency Domain;Topics in Acoustic Echo and Noise Control;2006

5. Frequency-Domain Blind Source Separation;Signals and Communication Technology

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