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Feature mapping of multiple beamformed sources for robust overlapping speech recognition using a microphone array
Li W.1; Wang L.3; Zhou Y.4; Dines J.2; Magimai-Doss M.2; Bourlard H.2; Liao Q.1
2014-12-01
Source PublicationIEEE/ACM Transactions on Audio Speech and Language Processing
ISSN23299290
Volume22Issue:12Pages:2244-2255
Abstract

This paper introduces a nonlinear vector-based feature mapping approach to extract robust features for automatic speech recognition (ASR) of overlapping speech using a microphone array. We explore different configurations and additional sources of information to improve the effectiveness of the feature mapping. First, we investigate the full-vector based mapping of different sources in a log mel-filterbank energy (log MFBE) domain, and demonstrate that retraining the acoustic model using the generated training data can help improve the recognition performance. Then we investigate the feature mapping between different domains. Finally in order to improve the qualities of the mapping inputs we propose a nonlinear mapping of the features from multiple beamformed sources, which are directed at the target and interfering speakers, respectively. We demonstrate the effectiveness of the proposed approach through extensive evaluations on theMONC corpus, which includes non-overlapping single speaker and overlapping multi-speaker conditions.

KeywordBeamforming Microphone Array Neural Network Speech Recognition Speech Separation
DOIhttp://doi.org/10.1109/TASLP.2014.2364130
URLView the original
Indexed BySCI
Language英语
WOS Research AreaAcoustics ; Engineering
WOS SubjectAcoustics ; Engineering, Electrical & Electronic
WOS IDWOS:000362410800001
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Cited Times [WOS]:6   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionFaculty of Science and Technology
DEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Affiliation1.Shenzhen Engineering Lab. of IS and DRM
2.Institut Dalle Molle D'intelligence Artificielle Perceptive
3.Nagaoka University of Technology
4.Universidade de Macau
Recommended Citation
GB/T 7714
Li W.,Wang L.,Zhou Y.,et al. Feature mapping of multiple beamformed sources for robust overlapping speech recognition using a microphone array[J]. IEEE/ACM Transactions on Audio Speech and Language Processing,2014,22(12):2244-2255.
APA Li W..,Wang L..,Zhou Y..,Dines J..,Magimai-Doss M..,...&Liao Q..(2014).Feature mapping of multiple beamformed sources for robust overlapping speech recognition using a microphone array.IEEE/ACM Transactions on Audio Speech and Language Processing,22(12),2244-2255.
MLA Li W.,et al."Feature mapping of multiple beamformed sources for robust overlapping speech recognition using a microphone array".IEEE/ACM Transactions on Audio Speech and Language Processing 22.12(2014):2244-2255.
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