Description: Automatic Speech Recognition by Li Deng, Dong Yu 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. FORMAT Hardcover LANGUAGE English CONDITION Brand New Publisher Description 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. Back Cover 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. Table of Contents 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. Review "Deep Learning (DL) has demonstrated a phenomenal success in various AI applications. … This book by two leading experts in Deep Learning is certainly a welcome addition to the literature of the field, particularly in automatic speech recognition. … this book presents a very valuable vista of the state-of-art of Deep Learning, focusing on speech recognition applications." (Robert Kozma, Mathematical Reviews, September, 2017)"The book addresses real-world problems of current interest regarding automatic speech recognition. … This book is useful for all researchers working in automatic speech recognition as well as in real-world applications of deep learning." (Ruxandra Stoean, zbMATH 1356.68004, 2017) Review Quote "The book addresses real-world problems of current interest regarding automatic speech recognition. ... This book is useful for all researchers working in automatic speech recognition as well as in real-world applications of deep learning." (Ruxandra Stoean, zbMATH 1356.68004, 2017) Feature 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 Details ISBN1447157788 Author Dong Yu Publisher Springer London Ltd Year 2014 ISBN-10 1447157788 ISBN-13 9781447157786 Format Hardcover Imprint Springer London Ltd Subtitle A Deep Learning Approach Place of Publication England Country of Publication United Kingdom DEWEY 621.3994 Short Title AUTOMATIC SPEECH RECOGNITION 2 Language English Media Book Pages 321 Edition 2015th DOI 10.1007/978-1-4471-5779-3 Publication Date 2014-11-28 UK Release Date 2014-11-28 AU Release Date 2014-11-28 NZ Release Date 2014-11-28 Illustrations 62 Illustrations, black and white; XXVI, 321 p. 62 illus. Edition Description 2015 ed. Series Signals and Communication Technology Alternative 9781447169673 Audience Professional & Vocational We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:96343073;
Price: 306.63 AUD
Location: Melbourne
End Time: 2024-12-08T00:35:37.000Z
Shipping Cost: 85.5 AUD
Product Images
Item Specifics
Restocking fee: No
Return shipping will be paid by: Buyer
Returns Accepted: Returns Accepted
Item must be returned within: 30 Days
ISBN-13: 9781447157786
Book Title: Automatic Speech Recognition
Number of Pages: 321 Pages
Language: English
Publication Name: Automatic Speech Recognition: a Deep Learning Approach
Publisher: Springer London Ltd
Publication Year: 2014
Subject: Engineering & Technology, Computer Science
Item Height: 235 mm
Item Weight: 6447 g
Type: Textbook
Author: Li Deng, Dong Yu
Item Width: 155 mm
Format: Hardcover