Automatic Speech Recognition (Record no. 52541)

000 -LEADER
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
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-- online resource
-- cr
-- rdacarrier
347 ## -
-- text file
-- PDF
-- 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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