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2006
IEEE

Localization based audio source separation by sub-band beamforming

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Localization based audio source separation by sub-band beamforming
— In this paper, a localization based approach of audio signal separation from binary mixtures is carried out. The audio sources are localized in the spatial domain (azimuth plane) using the delay and amplitude variation cues between two microphones’ signals. A coherence based technique is introduced here to localize the audio sources in adverse acoustical environment. The mixture signals are decomposed into a desired number of sub-bands with empirical mode decomposition (EMD) which is a data adaptive filtering scheme suitable for nonlinear and non-stationary signals. Data independent minimum variance beamforming is employed to separate the component sources in underdetermined condition (more sources than sensors). The experimental results of the proposed algorithm show noticeable separation efficiency. It is also found that the sub-band implementation improves the performance compared with and full-band approach.
M. Khademul Islam Molla, Keikichi Hirose, Nobuaki
Added 12 Jun 2010
Updated 12 Jun 2010
Type Conference
Year 2006
Where ISCAS
Authors M. Khademul Islam Molla, Keikichi Hirose, Nobuaki Minematsu
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