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Feature denoising using joint sparse representation for in-car speech recognition
Li W.3; Zhou Y.1; Poh N.2; Zhou F.3; Liao Q.3
2013-06-07
Source PublicationIEEE Signal Processing Letters
ISSN10709908
Volume20Issue:7Pages:681-684
Abstract

We address reducing the mismatch between training and testing conditions for hands-free in-car speech recognition. It is well known that the distortions caused by background noise, channel effects, etc., are highly nonlinear in the log-spectral or cepstral domain. This letter introduces a joint sparse representation (JSR) to estimate the underlying clean feature vector from a noisy feature vector. Performing a joint dictionary learning by sharing the same representation coefficients, the proposed method intends to capture the complex relationships (or mapping functions) between clean and noisy speech. Speech recognition experiments on realistic in-car data demonstrate that the proposed method shows excellent recognition performance with a relative improvement of 39.4% compared with the 'baseline' frontends. © 2012 IEEE.

KeywordDictionary Training In-car Speech Recognition Log Mel-filter Bank (Mfb) Outputs Sparse Representation
DOIhttp://doi.org/10.1109/LSP.2013.2245894
URLView the original
Indexed BySCI
Language英语
WOS Research AreaEngineering
WOS SubjectEngineering, Electrical & Electronic
WOS IDWOS:000319608500002
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Cited Times [WOS]:22   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionFaculty of Science and Technology
DEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Corresponding AuthorLi W.; Zhou Y.; Poh N.; Zhou F.; Liao Q.
Affiliation1.Universidade de Macau
2.University of Surrey
3.Tsinghua University
Recommended Citation
GB/T 7714
Li W.,Zhou Y.,Poh N.,et al. Feature denoising using joint sparse representation for in-car speech recognition[J]. IEEE Signal Processing Letters,2013,20(7):681-684.
APA Li W.,Zhou Y.,Poh N.,Zhou F.,&Liao Q..(2013).Feature denoising using joint sparse representation for in-car speech recognition.IEEE Signal Processing Letters,20(7),681-684.
MLA Li W.,et al."Feature denoising using joint sparse representation for in-car speech recognition".IEEE Signal Processing Letters 20.7(2013):681-684.
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