Blind source separation of convolutive audio using an adaptive stereo basis

Abstract : We consider the problem of convolutive blind source separation of audio mixtures. We propose an Adaptive Stereo Basis (ASB) method based on learning a set of basis vectors pairs fromthe time-domain stereomixtures. The basis vector pairs are clustered using estimated directions of arrival (DOAs) such that each basis vector pair is associated with one source. The ASB method is compared with the DUET algorithm on convolutive speech mixtures at different reverberation times and noise levels.
Complete list of metadatas

Cited literature [13 references]  Display  Hide  Download

https://hal.inria.fr/inria-00544290
Contributor : Emmanuel Vincent <>
Submitted on : Tuesday, December 7, 2010 - 4:00:41 PM
Last modification on : Thursday, March 21, 2019 - 2:20:03 PM
Long-term archiving on : Tuesday, March 8, 2011 - 4:44:14 AM

File

jafari_ICArn06.pdf
Publisher files allowed on an open archive

Identifiers

  • HAL Id : inria-00544290, version 1

Citation

Maria Jafari, Emmanuel Vincent, Samer Abdallah, Mark Plumbley, Mike Davies. Blind source separation of convolutive audio using an adaptive stereo basis. UK ICA Research Network Workshop, Sep 2006, Southampton, United Kingdom. ⟨inria-00544290⟩

Share

Metrics

Record views

144

Files downloads

619