MMSE-Based Missing-Feature Reconstruction With Temporal Modeling for Robust Speech Recognition

IEEE Transactions on Audio Speech and Language Processing ◽

10.1109/tasl.2012.2229982 ◽

2013 ◽

Vol 21 (3) ◽

pp. 624-635 ◽

Author(s):

J. A. Gonzalez ◽

A. M. Peinado ◽

Ning Ma ◽

A. M. Gomez ◽

J. Barker

Keyword(s):

Speech Recognition ◽

Robust Speech Recognition ◽

Temporal Modeling ◽

Missing Feature ◽

Feature Reconstruction

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Missing-Feature Reconstruction by Leveraging Temporal Spectral Correlation for Robust Speech Recognition in Background Noise Conditions

IEEE Transactions on Audio Speech and Language Processing ◽

10.1109/tasl.2010.2041698 ◽

2010 ◽

Vol 18 (8) ◽

pp. 2111-2120 ◽

Author(s):

Wooil Kim ◽

J Hansen

Keyword(s):

Speech Recognition ◽

Background Noise ◽

Robust Speech Recognition ◽

Spectral Correlation ◽

Missing Feature ◽

Feature Reconstruction

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Time–Frequency Correlation-Based Missing-Feature Reconstruction for Robust Speech Recognition in Band-Restricted Conditions

IEEE Transactions on Audio Speech and Language Processing ◽

10.1109/tasl.2009.2015080 ◽

2009 ◽

Vol 17 (7) ◽

pp. 1292-1304 ◽

Author(s):

Wooil Kim ◽

J.H.L. Hansen

Keyword(s):

Speech Recognition ◽

Robust Speech Recognition ◽

Frequency Correlation ◽

Time Frequency ◽

Missing Feature ◽

Feature Reconstruction

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Time-frequency correlation based missing-feature reconstruction for robust speech recognition in background noise conditions

2009 Conference Record of the Forty-Third Asilomar Conference on Signals, Systems and Computers ◽

10.1109/acssc.2009.5470200 ◽

2009 ◽

Author(s):

Wooil Kim ◽

John H.L. Hansen

Keyword(s):

Speech Recognition ◽

Background Noise ◽

Robust Speech Recognition ◽

Frequency Correlation ◽

Time Frequency ◽

Missing Feature ◽

Feature Reconstruction

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Mask classification for missing-feature reconstruction for robust speech recognition in unknown background noise

Speech Communication ◽

10.1016/j.specom.2010.08.005 ◽

2011 ◽

Vol 53 (1) ◽

pp. 1-11 ◽

Author(s):

Wooil Kim ◽

Richard M. Stern

Keyword(s):

Speech Recognition ◽

Background Noise ◽

Robust Speech Recognition ◽

Missing Feature ◽

Feature Reconstruction

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HMM-based missing feature reconstruction for robust speech recognition in additive noise environments

Phonetics and Speech Sciences ◽

10.13064/ksss.2014.6.4.127 ◽

2014 ◽

Vol 6 (4) ◽

pp. 127-132

Author(s):

Ji-Won Cho ◽

Hyung-Min Park

Keyword(s):

Speech Recognition ◽

Additive Noise ◽

Robust Speech Recognition ◽

Missing Feature ◽

Feature Reconstruction

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Robust speech recognition using missing feature theory and target speech enhancement based on degenerate unmixing and estimation technique

10.1117/12.883340 ◽

2011 ◽

Author(s):

Minook Kim ◽

Ji-Seon Kim ◽

Hyung-Min Park

Keyword(s):

Speech Recognition ◽

Speech Enhancement ◽

Robust Speech Recognition ◽

Estimation Technique ◽

Missing Feature Theory ◽

Missing Feature ◽

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Log-spectral feature reconstruction based on an occlusion model for noise robust speech recognition

10.21437/interspeech.2012-504 ◽

2012 ◽

Author(s):

Jose A. González ◽

Antonio M. Peinado ◽

Angel M. Gómez ◽

Ning Ma

Keyword(s):

Speech Recognition ◽

Spectral Feature ◽

Robust Speech Recognition ◽

Occlusion Model ◽

Noise Robust Speech Recognition ◽

Noise Robust ◽

Feature Reconstruction

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Mask estimation in non-stationary noise environments for missing feature based robust speech recognition

10.21437/interspeech.2010-582 ◽

2010 ◽

Author(s):

Shirin Badiezadegan ◽

Richard C. Rose

Keyword(s):

Speech Recognition ◽

Robust Speech Recognition ◽

Stationary Noise ◽

Feature Based ◽

Mask Estimation ◽

Missing Feature

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Correction of likelihoods for degrees of freedom in robust speech recognition using missing feature theory

Seventh International Symposium on Signal Processing and Its Applications, 2003. Proceedings. ◽

10.1109/isspa.2003.1224725 ◽

2003 ◽

Author(s):

H. Van hamme

Keyword(s):

Speech Recognition ◽

Degrees Of Freedom ◽

Robust Speech Recognition ◽

Missing Feature Theory ◽

Missing Feature ◽

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Using Phoneme Segmentation in Conjunction with Missing Feature Approaches for Noise Robust Speech Recognition

2007 IEEE International Symposium on Signal Processing and Information Technology ◽

10.1109/isspit.2007.4458075 ◽

2007 ◽

Author(s):

Arash Mohammadi ◽

Farshad Almasganj ◽

Aboozar Taherkhani ◽

Farnoosh Naderkhani

Keyword(s):

Speech Recognition ◽

Robust Speech Recognition ◽

Phoneme Segmentation ◽

Noise Robust Speech Recognition ◽

Noise Robust ◽

Missing Feature

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