Computational Auditory Scene Analysis and Automatic Speech Recognition (English)
- New search for: Narayanan, Arun
- New search for: Wang, Deliang
- New search for: Virtanen, Tuomas
- New search for: Singh, Rita
- New search for: Raj, Bhiksha
- New search for: Narayanan, Arun
- New search for: Wang, Deliang
In:
Techniques for Noise Robustness in Automatic Speech Recognition
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433-462
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2012
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ISBN:
- Article/Chapter (Book) / Electronic Resource
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Title:Computational Auditory Scene Analysis and Automatic Speech Recognition
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Contributors:Virtanen, Tuomas ( editor ) / Singh, Rita ( editor ) / Raj, Bhiksha ( editor ) / Narayanan, Arun ( author ) / Wang, Deliang ( author )
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Published in:
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Publisher:
- New search for: John Wiley & Sons, Ltd
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Place of publication:Chichester, UK
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Publication date:2012-11-02
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Size:30 pages
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ISBN:
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DOI:
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Type of media:Article/Chapter (Book)
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Type of material:Electronic Resource
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Language:English
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Keywords:ASA principles, cues for auditory organization of speech , Auditory Scene Analysis , IBM in speech segregation and ASR , ASA computational, CASA and speech in realistic environments , CASA with ASR integration, with CASA as preprocessor , CASA and ASR combination in research , noise, and CASA and ASR , CASA‐based and ASA, amplitude modulation and onset/offset for IBM , binaural mask estimation, ITD and IID as relevant cues , auditory system, and the cocktail party problem
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Source:
Table of contents eBook
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
- 1
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IntroductionVirtanen, Tuomas / Singh, Rita / Raj, Bhiksha et al. | 2012
- 7
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The Basics of Automatic Speech RecognitionSingh, Rita / Raj, Bhiksha / Virtanen, Tuomas et al. | 2012
- 31
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The Problem of Robustness in Automatic Speech RecognitionRaj, Bhiksha / Virtanen, Tuomas / Singh, Rita et al. | 2012
- 51
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Voice Activity Detection, Noise Estimation, and Adaptive Filters for Acoustic Signal EnhancementMartin, Rainer / Kolossa, Dorothea et al. | 2012
- 87
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Extraction of Speech from Mixture SignalsSmaragdis, Paris et al. | 2012
- 109
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Microphone ArraysMcDonough, John / Kumatani, Kenichi et al. | 2012
- 159
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From Signals to Speech Features by Digital Signal ProcessingWölfel, Matthias et al. | 2012
- 193
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Features Based on Auditory Physiology and PerceptionStern, Richard M. / Morgan, Nelson et al. | 2012
- 229
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Feature CompensationDroppo, Jasha et al. | 2012
- 251
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Reverberant Speech RecognitionHaeb‐Umbach, Reinhold / Krueger, Alexander et al. | 2012
- 283
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Adaptation and Discriminative Training of Acoustic ModelsEstève, Yannick / Deléglise, Paul et al. | 2012
- 311
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Factorial Models for Noise Robust Speech RecognitionHershey, John R. / Rennie, Steven J. / Le Roux, Jonathan et al. | 2012
- 347
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Acoustic Model Training for Robust Speech RecognitionSeltzer, Michael L. et al. | 2012
- 369
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Missing‐Data Techniques: Recognition with Incomplete SpectrogramsBarker, Jon et al. | 2012
- 399
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Missing‐Data Techniques: Feature ReconstructionGemmeke, Jort Florent / Remes, Ulpu et al. | 2012
- 433
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Computational Auditory Scene Analysis and Automatic Speech RecognitionNarayanan, Arun / Wang, Deliang et al. | 2012
- 463
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Uncertainty DecodingLiao, Hank et al. | 2012
- 487
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Index| 2012
- i
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Front Matter| 2012