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Multimodal blind source separation for moving sources
conference contribution
posted on 2009-09-29, 15:11 authored by Mohsen Naqvi, Yonggang Zhang, Jonathon ChambersA novel multimodal approach is proposed to solve the problem of
blind source separation (BSS) of moving sources. The challenge
of BSS for moving sources is that the mixing filters are time varying,
thus the unmixing filters should also be time varying, which are
difficult to track in real time. In the proposed approach, the visual
modality is utilized to facilitate the separation for both stationary and
moving sources. The movement of the sources is detected by a 3-D
tracker based on particle filtering. The full BSS solution is formed
by integrating a frequency domain blind source separation algorithm
and beamforming: if the sources are identified as stationary, a frequency
domain BSS algorithm is implemented with an initialization
derived from the visual information. Once the sources are moving,
a beamforming algorithm is used to perform real time speech
enhancement and provide separation of the sources. Experimental
results show that by utilizing the visual modality, the proposed algorithm
can not only improve the performance of the BSS algorithm
and mitigate the permutation problem for stationary sources, but also
provide a good BSS performance for moving sources in a low reverberant
environment.
History
School
- Mechanical, Electrical and Manufacturing Engineering
Citation
NAQVI, S.M., ZHANG, Y. and CHAMBERS, J.A., 2009. Multimodal blind source separation for moving sources. IN: IEEE International Conference on Acoustics, Speech and Signal Processing, (ICASSP 2009), Taipei, 19-24 April, pp. 125-128 .Publisher
© IEEEVersion
- VoR (Version of Record)
Publication date
2009Notes
This is a conference paper [© IEEE]. It is also available at: http://ieeexplore.ieee.org/ Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.ISBN
9781424423538ISSN
1520-6149Language
- en