Feature Compensation (English)
- New search for: Droppo, Jasha
- New search for: Virtanen, Tuomas
- New search for: Singh, Rita
- New search for: Raj, Bhiksha
- New search for: Droppo, Jasha
In:
Techniques for Noise Robustness in Automatic Speech Recognition
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229-250
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2012
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ISBN:
- Article/Chapter (Book) / Electronic Resource
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Title:Feature Compensation
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Contributors:Virtanen, Tuomas ( editor ) / Singh, Rita ( editor ) / Raj, Bhiksha ( editor ) / Droppo, Jasha ( 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:22 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:feature‐enhancement, information and distortion removal , MBFE utterance by utterance, SLDM and speech or noise cepstra , discriminative SPLICE and MMI, Aurora 4 and Rprop iterations , AURORA digital speech‐recognition, and system evaluation tasks , MMSE‐SPLICE in noisy speech, word error rate on Aurora 2 , discriminative SPLICE in shortcomings, noise into features , joint distribution of clean/noisy speech model, GMM , VTS feature enhancement, for processing power and distortion , feature compensation, ideal from observed noisy speech features , acoustic and signals using microphone, linear/nonlinear effects
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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