Feature Compensation (Englisch)
- Neue Suche nach: Droppo, Jasha
- Neue Suche nach: Virtanen, Tuomas
- Neue Suche nach: Singh, Rita
- Neue Suche nach: Raj, Bhiksha
- Neue Suche nach: 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:
- Aufsatz/Kapitel (Buch) / Elektronische Ressource
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Titel:Feature Compensation
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Beteiligte:Virtanen, Tuomas ( Herausgeber:in ) / Singh, Rita ( Herausgeber:in ) / Raj, Bhiksha ( Herausgeber:in ) / Droppo, Jasha ( Autor:in )
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Erschienen in:
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Verlag:
- Neue Suche nach: John Wiley & Sons, Ltd
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Erscheinungsort:Chichester, UK
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Erscheinungsdatum:02.11.2012
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Format / Umfang:22 pages
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ISBN:
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DOI:
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Medientyp:Aufsatz/Kapitel (Buch)
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Format:Elektronische Ressource
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Sprache:Englisch
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Schlagwörter: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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Datenquelle:
Inhaltsverzeichnis E-Book
Die Inhaltsverzeichnisse werden automatisch erzeugt und basieren auf den im Index des TIB-Portals verfügbaren Einzelnachweisen der enthaltenen Beiträge. Die Anzeige der Inhaltsverzeichnisse kann daher unvollständig oder lückenhaft sein.
- 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