Postfiltering Using Multichannel Spectral Estimation in Multispeaker Environments

This paper investigates the problem of enhancing a single desired speech source from a mixture of signals in multispeaker environments. A beamformer structure is proposed which combines a fixed beamformer with postfiltering. In the first stage, the fixed multiobjective optimal beamformer is designed...

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Bibliographic Details
Published in:EURASIP journal on advances in signal processing 2008-01, Vol.2008 (1), Article 860360
Main Authors: HAI QUANG DAM, NORDHOLM, Sven, HAI HUYEN DAM, SIOW YONG LOW
Format: Article
Language:English
Subjects:
Applied sciences
Design
Detection, estimation, filtering, equalization, prediction
Exact sciences and technology
Information, signal and communications theory
Methods
Miscellaneous
Noise
Signal and communications theory
Signal processing
Signal representation. Spectral analysis
Signal, noise
Speech
Studies
Telecommunications and information theory
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Summary:This paper investigates the problem of enhancing a single desired speech source from a mixture of signals in multispeaker environments. A beamformer structure is proposed which combines a fixed beamformer with postfiltering. In the first stage, the fixed multiobjective optimal beamformer is designed to spatially extract the desired source by suppressing all other undesired sources. In the second stage, a multichannel power spectral estimator is proposed and incorporated in the postfilter, thus enabling further suppression capability. The combined scheme exploits both spatial and spectral characteristics of the signals. Two new multichannel spectral estimation methods are proposed for the postfiltering using, respectively, inner product and joint diagonalization. Evaluations using recordings from a real-room environment show that the proposed beamformer offers a good interference suppression level whilst maintaining a low-distortion level of the desired source.
ISSN:1687-6172
1687-6180
1687-6180
DOI:10.1155/2008/860360