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Cover: 9781447169673 | Automatic Speech Recognition | A Deep Learning Approach | Deng (u. a.)
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Automatic Speech Recognition
A Deep Learning Approach
Taschenbuch von Li Deng (u. a.)
Sprache: Englisch

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Beschreibung
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 treatment of the subject, the book also presents insights and theoretical foundation of a series of highly successful deep learning models.
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 treatment of the subject, the book also presents insights and theoretical foundation of a series of highly successful deep learning models.
Zusammenfassung

Presents important theoretical foundation and practical considerations of using a wide range of deep learning models and methods for automatic speech recognition

Reviews past and present work (up to the fall of year 2014) on most impactful work based on deep learning for acoustic modeling in speech recognition

Goes deeply into rigorous mathematical and technical descriptions of deep learning methods successful for speech recognition and related areas of applications

Analyzes research directions and trends towards establishing future-generation speech recognition based on extending the current deep learning models

Includes supplementary material: [...]

Inhaltsverzeichnis
Section 1: Automatic speech recognition: Background.- Feature extraction: basic frontend.- Acoustic model: Gaussian mixture hidden Markov model.- Language model: stochastic N-gram.- Historical reviews of speech recognition research: 1st, 2nd, 3rd, 3.5th, and 4th generations.- Section 2: Advanced feature extraction and transformation.- Unsupervised feature extraction.- Discriminative feature transformation.- Section 3: Advanced acoustic modeling.- Conditional random field (CRF) and hidden conditional random field (HCRF).- Deep-Structured CRF.- Semi-Markov conditional random field.- Deep stacking models.- Deep neural network ¿ hidden Markov hybrid model.- Section 4: Advanced language modeling.- Discriminative Language model.- Log-linear language model.- Neural network language model.
Details
Erscheinungsjahr: 2016
Fachbereich: Nachrichtentechnik
Genre: Technik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Reihe: Signals and Communication Technology
Inhalt: xxvi
321 S.
62 s/w Illustr.
321 p. 62 illus.
ISBN-13: 9781447169673
ISBN-10: 1447169670
Sprache: Englisch
Ausstattung / Beilage: Paperback
Einband: Kartoniert / Broschiert
Autor: Deng, Li
Yu, Dong
Auflage: Softcover reprint of the original 1st ed. 2015
Hersteller: Springer London
Springer-Verlag London Ltd.
Signals and Communication Technology
Maße: 235 x 155 x 19 mm
Von/Mit: Li Deng (u. a.)
Erscheinungsdatum: 10.09.2016
Gewicht: 0,528 kg
Artikel-ID: 103395667
Zusammenfassung

Presents important theoretical foundation and practical considerations of using a wide range of deep learning models and methods for automatic speech recognition

Reviews past and present work (up to the fall of year 2014) on most impactful work based on deep learning for acoustic modeling in speech recognition

Goes deeply into rigorous mathematical and technical descriptions of deep learning methods successful for speech recognition and related areas of applications

Analyzes research directions and trends towards establishing future-generation speech recognition based on extending the current deep learning models

Includes supplementary material: [...]

Inhaltsverzeichnis
Section 1: Automatic speech recognition: Background.- Feature extraction: basic frontend.- Acoustic model: Gaussian mixture hidden Markov model.- Language model: stochastic N-gram.- Historical reviews of speech recognition research: 1st, 2nd, 3rd, 3.5th, and 4th generations.- Section 2: Advanced feature extraction and transformation.- Unsupervised feature extraction.- Discriminative feature transformation.- Section 3: Advanced acoustic modeling.- Conditional random field (CRF) and hidden conditional random field (HCRF).- Deep-Structured CRF.- Semi-Markov conditional random field.- Deep stacking models.- Deep neural network ¿ hidden Markov hybrid model.- Section 4: Advanced language modeling.- Discriminative Language model.- Log-linear language model.- Neural network language model.
Details
Erscheinungsjahr: 2016
Fachbereich: Nachrichtentechnik
Genre: Technik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Reihe: Signals and Communication Technology
Inhalt: xxvi
321 S.
62 s/w Illustr.
321 p. 62 illus.
ISBN-13: 9781447169673
ISBN-10: 1447169670
Sprache: Englisch
Ausstattung / Beilage: Paperback
Einband: Kartoniert / Broschiert
Autor: Deng, Li
Yu, Dong
Auflage: Softcover reprint of the original 1st ed. 2015
Hersteller: Springer London
Springer-Verlag London Ltd.
Signals and Communication Technology
Maße: 235 x 155 x 19 mm
Von/Mit: Li Deng (u. a.)
Erscheinungsdatum: 10.09.2016
Gewicht: 0,528 kg
Artikel-ID: 103395667
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