Automatic Speech Recognition: A Deep Learning Approach (Signals and Communication Technology)

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9781447157786: Automatic Speech Recognition: A Deep Learning Approach (Signals and Communication Technology)
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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.

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“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)

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9781447169673: Automatic Speech Recognition: A Deep Learning Approach (Signals and Communication Technology)

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Book Description Springer London Ltd, United Kingdom, 2014. Hardback. Condition: New. 2015 ed.. Language: English . Brand New Book. 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. Seller Inventory # SPR9781447157786

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Book Description Springer London Ltd, United Kingdom, 2014. Hardback. Condition: New. 2015 ed.. Language: English . Brand New Book. 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. Seller Inventory # SPR9781447157786

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Book Description Springer London Ltd, United Kingdom, 2014. Hardback. Condition: New. 2015 ed.. Language: English . This book usually ship within 10-15 business days and we will endeavor to dispatch orders quicker than this where possible. Brand New Book. 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. Seller Inventory # LIE9781447157786

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Book Description Condition: New. Publisher/Verlag: Springer, Berlin | A Deep Learning Approach | This book reviews past and present work on discriminative and hierarchical models for both acoustic and language modeling. It also analyzes the research direction and trends towards establishing future-generation speech recognition. | 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. | Format: Hardback | Language/Sprache: english | 684 gr | 242x163x24 mm | 321 pp. Seller Inventory # K9781447157786

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Book Description Springer, 2014. Hardcover. Condition: Brand New. 200 pages. 9.50x6.50x1.00 inches. In Stock. Seller Inventory # __1447157788

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