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Automatic Speech RecognitionAutomatic Speech Recognition
by Dong Yu, Li Deng
This book provides a comprehensive overview of the recent advancement in the field of automatic speech recognition with a focus on deep learning models including deep neural networks and many of their variants. This is the first automatic speech recognition book dedicated to the deep learning approach. In addition to the rigorous mathematical treat ...
Number of pages: 321 | Publication Date: 2014-11-11 | ISBN-13: 9781447157786

Robust Automatic Speech RecognitionRobust Automatic Speech Recognition
by Jinyu Li, Li Deng, Reinhold Haeb-Umbach, Yifan Gong
Robust Automatic Speech Recognition: A Bridge to Practical Applications establishes a solid foundation for automatic speech recognition that is robust against acoustic environmental distortion. It provides a thorough overview of classical and modern noise-and reverberation robust techniques that have been developed over the past thirty years, with ...
Number of pages: 306 | Publication Date: 2015-10-26 | ISBN-13: 9780128023983

Fundamentals of Speech RecognitionFundamentals of Speech Recognition
by Lawrence Rabiner, Biing-Hwang Juang
Provides a theoretically sound, technically accurate, and complete description of the basic knowledge and ideas that constitute a modern system for speech recognition by machine. Covers production, perception, and acoustic-phonetic characterization of the speech signal; signal processing and analysis methods for speech recognition; pattern com ...
Number of pages: 544 | Publication Date: 1993-04-22 | ISBN-13: 9780130151575

New Era for Robust Speech RecognitionNew Era for Robust Speech Recognition
This book covers the state-of-the-art in deep neural-network-based methods for noise robustness in distant speech recognition applications. It provides insights and detailed descriptions of some of the new concepts and key technologies in the field, including novel architectures for speech enhancement, microphone arrays, robust features, acoustic m ...
Number of pages: 436 | Publication Date: 2017-11-01 | ISBN-13: 9783319646794

Speech and Language Processing, 2nd EditionSpeech and Language Processing, 2nd Edition
by Daniel Jurafsky, James H. Martin
For undergraduate or advanced undergraduate courses in Classical Natural Language Processing, Statistical Natural Language Processing, Speech Recognition, Computational Linguistics, and Human Language Processing.   An explosion of Web-based language techniques, merging of distinct fields, availability of phone-based dialogue systems, and much mo ...
Number of pages: 1032 | Publication Date: 2008-05-16 | ISBN-13: 9780131873216

Speech RecognitionSpeech Recognition
by Claudio Becchetti, Lucio Prina Ricotti
Automatic Speech Recognition (ASR) is the enabling technology forhands-free dictation and voice-triggered computer menus. It isbecoming increasingly prevalent in environments such as privatetelephone exchanges and real-time information services. SpeechRecognition introduces the principles of ASR systems, including thetheory and implementation issue ...
Number of pages: 428 | Publication Date: 1999-05-04 | ISBN-13: 9780471977308

Speech and Language Processing An Introduction to Natural Language Processing, Computational Linguistics, and Speech RecognitionSpeech and Language Processing An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition
Daniel Jurafsky
Printed in Asia - Carries Same Contents as of US edition - Opt Expedited Shipping for 3 to 4 day delivery - ...
Number of pages: --- | Publication Date: 2008 | ISBN-13: 9789332518414

Statistical Methods for Speech Recognition (Language, Speech, and Communication)Statistical Methods for Speech Recognition (Language, Speech, and Communication)
Frederick Jelinek
This book reflects decades of important research on the mathematical foundations of speech recognition. It focuses on underlying statistical techniques such as hidden Markov models, decision trees, the expectation-maximization algorithm, information theoretic goodness criteria, maximum entropy probability estimation, parameter and data clustering, ...
Number of pages: 305 | Publication Date: 1998-01-16 | ISBN-13: 9780262100663

Speech and Language ProcessingSpeech and Language Processing
by Daniel Jurafsky, James H. Martin
This book takes an empirical approach to language processing, based on applying statistical and other machine-learning algorithms to large corpora.Methodology boxes are included in each chapter. Each chapter is built around one or more worked examples to demonstrate the main idea of the chapter. Covers the fundamental algorithms of various fields, ...
Number of pages: 934 | Publication Date: 2000-02-05 | ISBN-13: 9780130950697

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