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Automatic Speech Recognition

A Deep Learning Approach

Dong Yu, Li Deng (Autoren)

Buch | Hardcover

321 Seiten

2014 | 2015 ed.
Springer London Ltd (Verlag)
978-1-4471-5778-6 (ISBN)

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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.

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.

Reihe/Serie	Signals and Communication Technology
Zusatzinfo	62 Illustrations, black and white
Verlagsort	England
Sprache	englisch
Maße	155 x 235 mm
Themenwelt	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
	Sozialwissenschaften
	Technik ► Elektrotechnik / Energietechnik
Schlagworte	Auditory Signal Processing • Automatic speech recognition • Deep Architecture • Machine Learning in Language • Neural Network Language Model • Sequential Model
ISBN-10	1-4471-5778-8 / 1447157788
ISBN-13	978-1-4471-5778-6 / 9781447157786
Zustand	Neuware