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Automatic speech recognition [electronic resource] : a deep learning approach

Automatic speech recognition [electronic resource] : a deep learning approach

자료유형
E-Book(소장)
개인저자
Yu, Dong. Deng, Li.
서명 / 저자사항
Automatic speech recognition [electronic resource] : a deep learning approach / Dong Yu, Li Deng.
발행사항
London :   Springer London :   Imprint: Springer,   2015.  
형태사항
1 online resource (xxvi, 321 p.) : ill.
총서사항
Signals and communication technology,1860-4862
ISBN
9781447157793
요약
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.
일반주기
Title from e-Book title page.  
내용주기
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.
서지주기
Includes bibliographical references and index.
이용가능한 다른형태자료
Issued also as a book.  
일반주제명
Automatic speech recognition.
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100 1 ▼a Yu, Dong.
245 1 0 ▼a Automatic speech recognition ▼h [electronic resource] : ▼b a deep learning approach / ▼c Dong Yu, Li Deng.
260 ▼a London : ▼b Springer London : ▼b Imprint: Springer, ▼c 2015.
300 ▼a 1 online resource (xxvi, 321 p.) : ▼b ill.
490 1 ▼a Signals and communication technology, ▼x 1860-4862
500 ▼a Title from e-Book title page.
504 ▼a Includes bibliographical references and index.
505 0 ▼a 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.
520 ▼a 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.
530 ▼a Issued also as a book.
538 ▼a Mode of access: World Wide Web.
650 0 ▼a Automatic speech recognition.
700 1 ▼a Deng, Li.
830 0 ▼a Signals and communication technology.
856 4 0 ▼u https://oca.korea.ac.kr/link.n2s?url=http://dx.doi.org/10.1007/978-1-4471-5779-3
945 ▼a KLPA
991 ▼a E-Book(소장)

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No. 1 소장처 중앙도서관/e-Book 컬렉션/ 청구기호 CR 006.454 등록번호 E14024510 도서상태 대출불가(열람가능) 반납예정일 예약 서비스 M

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