Automatic Speech Recognition (Record no. 52541)
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000 -LEADER | |
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fixed length control field | 03052nam a22005415i 4500 |
001 - CONTROL NUMBER | |
control field | 978-1-4471-5779-3 |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20200420221250.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 141111s2015 xxk| s |||| 0|eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
ISBN | 9781447157793 |
-- | 978-1-4471-5779-3 |
082 04 - CLASSIFICATION NUMBER | |
Call Number | 621.382 |
100 1# - AUTHOR NAME | |
Author | Yu, Dong. |
245 10 - TITLE STATEMENT | |
Title | Automatic Speech Recognition |
Sub Title | A Deep Learning Approach / |
300 ## - PHYSICAL DESCRIPTION | |
Number of Pages | XXVI, 321 p. 62 illus. |
490 1# - SERIES STATEMENT | |
Series statement | Signals and Communication Technology, |
505 0# - FORMATTED CONTENTS NOTE | |
Remark 2 | 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 ## - SUMMARY, ETC. | |
Summary, etc | 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. |
700 1# - AUTHOR 2 | |
Author 2 | Deng, Li. |
856 40 - ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | http://dx.doi.org/10.1007/978-1-4471-5779-3 |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Koha item type | eBooks |
264 #1 - | |
-- | London : |
-- | Springer London : |
-- | Imprint: Springer, |
-- | 2015. |
336 ## - | |
-- | text |
-- | txt |
-- | rdacontent |
337 ## - | |
-- | computer |
-- | c |
-- | rdamedia |
338 ## - | |
-- | online resource |
-- | cr |
-- | rdacarrier |
347 ## - | |
-- | text file |
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-- | rda |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Engineering. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Application software. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Acoustical engineering. |
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Engineering. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Signal, Image and Speech Processing. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Engineering Acoustics. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Computer Appl. in Social and Behavioral Sciences. |
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
-- | 1860-4862 |
912 ## - | |
-- | ZDB-2-ENG |
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