東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Automatic speech recognition = a dee...

Yu, Dong.

FindBook

Google Book

Amazon

博客來

Automatic speech recognition = a deep learning approach /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Automatic speech recognition/ by Dong Yu, Li Deng.
其他題名:	a deep learning approach /
作者:	Yu, Dong.
其他作者:	Deng, Li.
出版者:	London :Springer London : : 2015.,
面頁冊數:	xxvi, 321 p. :ill., digital ;24 cm.
內容註:	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.
Contained By:	Springer eBooks
標題:	Automatic speech recognition. -
電子資源:	http://dx.doi.org/10.1007/978-1-4471-5779-3
ISBN:	9781447157793 (electronic bk.)

Automatic speech recognition = a deep learning approach /
Yu, Dong.

Automatic speech recognitiona deep learning approach /[electronic resource] :by Dong Yu, Li Deng. - London :Springer London :2015. - xxvi, 321 p. :ill., digital ;24 cm. - Signals and communication technology,1860-4862. - Signals and communication technology..

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.

This book summarizes the recent advancement in the field of automatic speech recognition with a focus on discriminative and hierarchical models. This will be the first automatic speech recognition book to include a comprehensive coverage of recent developments such as conditional random field and deep learning techniques. It presents insights and theoretical foundation of a series of recent models such as conditional random field, semi-Markov and hidden conditional random field, deep neural network, deep belief network, and deep stacking models for sequential learning. It also discusses practical considerations of using these models in both acoustic and language modeling for continuous speech recognition.

ISBN: 9781447157793 (electronic bk.)

Standard No.: 10.1007/978-1-4471-5779-3doiSubjects--Topical Terms:

753709
Automatic speech recognition.

LC Class. No.: TK7895.S65

Dewey Class. No.: 006.454

Automatic speech recognition = a deep learning approach /
LDR:02580nmm a2200349 a 4500 001 1993526
003 DE-He213
005 20150714090641.0
006 m d
007 cr nn 008maaau
008 151019s2015 enk s 0 eng d
020 $a 9781447157793 (electronic bk.)
020 $a 9781447157786 (paper)
024 7 $a 10.1007/978-1-4471-5779-3 $2 doi
035 $a 978-1-4471-5779-3
040 $a GP $c GP
041 0 $a eng
050 4 $a TK7895.S65
072 7 $a TTBM $2 bicssc
072 7 $a UYS $2 bicssc
072 7 $a TEC008000 $2 bisacsh
072 7 $a COM073000 $2 bisacsh
082 0 4 $a 006.454 $2 23
090 $a TK7895.S65 $b Y94 2015
100 1 $a Yu, Dong. $3 2131828
245 1 0 $a Automatic speech recognition $h [electronic resource] : $b a deep learning approach / $c by Dong Yu, Li Deng.
260 $a London : $b Springer London : $b Imprint: Springer, $c 2015.
300 $a xxvi, 321 p. : $b ill., digital ; $c 24 cm.
490 1 $a Signals and communication technology, $x 1860-4862
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 summarizes the recent advancement in the field of automatic speech recognition with a focus on discriminative and hierarchical models. This will be the first automatic speech recognition book to include a comprehensive coverage of recent developments such as conditional random field and deep learning techniques. It presents insights and theoretical foundation of a series of recent models such as conditional random field, semi-Markov and hidden conditional random field, deep neural network, deep belief network, and deep stacking models for sequential learning. It also discusses practical considerations of using these models in both acoustic and language modeling for continuous speech recognition.
650 0 $a Automatic speech recognition. $3 753709
650 1 4 $a Engineering. $3 586835
650 2 4 $a Signal, Image and Speech Processing. $3 891073
650 2 4 $a Engineering Acoustics. $3 1533220
650 2 4 $a Computer Appl. in Social and Behavioral Sciences. $3 892702
700 1 $a Deng, Li. $3 1257233
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a Signals and communication technology. $3 1565543
856 4 0 $u http://dx.doi.org/10.1007/978-1-4471-5779-3
950 $a Engineering (Springer-11647)