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13 - Electrical and Electronic Engineering, Metallurgy and Materials

University of Surrey

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Article title

Video-Aided Model-Based Source Separation in Real Reverberant Rooms

Type

D - Journal article

DOI

10.1109/TASL.2013.2261814

Title of journal

IEEE Transactions on Audio, Speech, and Language Processing

Article number

Volume number

Issue number

First page of article

1900

ISSN of journal

1558-7924

Year of publication

2013

URL

Number of additional authors

Additional information

This paper introduces a technique to overcome challenges for robust voice separation from multiple speakers in complex scenes, as the changing dynamics within a natural environment pose big challenges for robust voice separation. This solution is to integrate visual modalities for robust tracking of the speakers and identify unmixing filters for voice separation of moving speakers. Currently sponsored by EPSRC, the technique has a future in next-generation healthcare technology, surveillance and teleconference systems. The Centre for Defence Enterprise of the Ministry of Defence is interested in this technology for surveillance.

Interdisciplinary

Cross-referral requested

Research group

None

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract