MARC details
| 000 -LEADER |
|---|
| fixed length control field |
02351nmm a22002775i 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20230705150622.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
141111s2015 xxk| s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9781447157793 |
| -- |
978-1-4471-5779-3 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
621.382 |
| Edition number |
23 |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Yu, Dong. |
| 9 (RLIN) |
19657 |
| 245 ## - TITLE STATEMENT |
|---|
| Title |
Automatic Speech Recognition |
| Medium |
[electronic resource] : |
| Remainder of title |
A Deep Learning Approach / |
| Statement of responsibility, etc. |
by Dong Yu, Li Deng. |
| 250 ## - EDITION STATEMENT |
|---|
| Edition statement |
1st ed. 2015. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
|---|
| Place of publication, distribution, etc. |
London : |
| Name of publisher, distributor, etc. |
Springer London : |
| -- |
Imprint: Springer, |
| Date of publication, distribution, etc. |
2015. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
XXVI, 321 p. 62 illus. |
| Other physical details |
online resource. |
| 505 ## - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
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. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Signal processing. |
| 9 (RLIN) |
19658 |
|
|---|
| Topical term or geographic name entry element |
Acoustical engineering. |
| 9 (RLIN) |
19659 |
|
|---|
| Topical term or geographic name entry element |
Social sciences-Data processing. |
| 9 (RLIN) |
19660 |
|
|---|
| Topical term or geographic name entry element |
Signal, Speech and Image Processing . |
| 9 (RLIN) |
19661 |
|
|---|
| Topical term or geographic name entry element |
Engineering Acoustics. |
| 9 (RLIN) |
19662 |
|
|---|
| Topical term or geographic name entry element |
Computer Application in Social and Behavioral Sciences. |
| 9 (RLIN) |
19663 |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Deng, Li. |
| Relator term |
author. |
| Relationship |
aut |
| -- |
http://id.loc.gov/vocabulary/relators/aut |
| 9 (RLIN) |
19664 |
| 856 ## - ELECTRONIC LOCATION AND ACCESS |
|---|
| Uniform Resource Identifier |
<a href="https://doi.org/10.1007/978-1-4471-5779-3">https://doi.org/10.1007/978-1-4471-5779-3</a> |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Koha item type |
e-Book |
