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20140310143347.0 |
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110712s2011 gw | s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9783642213175 |
|
978-3-642-21317-5 |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
621.382 |
| Edition number |
23 |
| 264 #1 - |
|---|
| -- |
Berlin, Heidelberg : |
| -- |
Springer Berlin Heidelberg, |
| -- |
2011. |
| 912 ## - |
|---|
| -- |
ZDB-2-ENG |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Kolossa, Dorothea. |
| Relator term |
editor. |
| 245 10 - IMMEDIATE SOURCE OF ACQUISITION NOTE |
|---|
| Title |
Robust Speech Recognition of Uncertain or Missing Data |
| Medium |
[electronic resource] : |
| Remainder of title |
Theory and Applications / |
| Statement of responsibility, etc |
edited by Dorothea Kolossa, Reinhold Häb-Umbach. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
XIV, 380p. 69 illus., 17 illus. in color. |
| Other physical details |
online resource. |
| 505 0# - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
Chap. 1 – Introduction -- Part I – Theoretical Foundations -- Chap. 2 – Uncertainty Decoding and Conditional Bayesian Estimation -- Chap. 3 – Uncertainty Propagation -- Part II – Applications -- Chap. 4 – Front-End, Back-End, and Hybrid Techniques for Noise-Robust Speech Recognition -- Chap. 5 – Model-Based Approaches to Handling Uncertainty -- Chap. 6 – Reconstructing Noise-Corrupted Spectrographic Components for Robust Speech Recognition -- Chap. 7 – Automatic Speech Recognition Using Missing Data Techniques: Handling of Real-World Data -- Chap. 8 – Conditional Bayesian Estimation Employing a Phase-Sensitive Estimation Model for Noise-Robust Speech Recognition.- Part III – Reverberation Robustness -- Chap. 9 – Variance Compensation for Recognition of Reverberant Speech with Dereverberation Processing -- Chap. 10 – A Model-Based Approach to Joint Compensation of Noise and Reverberation for Speech Recognition -- Part IV – Applications: Multiple Speakers and Modalities -- Chap. 11 – Evidence Modelling for Missing Data Speech Recognition Using Small Microphone Arrays -- Chap. 12 – Recognition of Multiple Speech Sources Using ICA.- Chap. 13 – Use of Missing and Unreliable Data for Audiovisual Speech Recognition.- Index. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc |
Automatic speech recognition suffers from a lack of robustness with respect to noise, reverberation and interfering speech. The growing field of speech recognition in the presence of missing or uncertain input data seeks to ameliorate those problems by using not only a preprocessed speech signal but also an estimate of its reliability to selectively focus on those segments and features that are most reliable for recognition. This book presents the state of the art in recognition in the presence of uncertainty, offering examples that utilize uncertainty information for noise robustness, reverberation robustness, simultaneous recognition of multiple speech signals, and audiovisual speech recognition. The book is appropriate for scientists and researchers in the field of speech recognition who will find an overview of the state of the art in robust speech recognition, professionals working in speech recognition who will find strategies for improving recognition results in various conditions of mismatch, and lecturers of advanced courses on speech processing or speech recognition who will find a reference and a comprehensive introduction to the field. The book assumes an understanding of the fundamentals of speech recognition using Hidden Markov Models. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Engineering. |
|
|---|
| Topical term or geographic name as entry element |
Artificial intelligence. |
|
|---|
| Topical term or geographic name as entry element |
Computational linguistics. |
|
|---|
| Topical term or geographic name as entry element |
Engineering. |
|
|---|
| Topical term or geographic name as entry element |
Signal, Image and Speech Processing. |
|
|---|
| Topical term or geographic name as entry element |
Artificial Intelligence (incl. Robotics). |
|
|---|
| Topical term or geographic name as entry element |
Computational Linguistics. |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Häb-Umbach, Reinhold. |
| Relator term |
editor. |
| 710 2# - ADDED ENTRY--CORPORATE NAME |
|---|
| Corporate name or jurisdiction name as entry element |
SpringerLink (Online service) |
| 773 0# - HOST ITEM ENTRY |
|---|
| Title |
Springer eBooks |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY |
|---|
| Display text |
Printed edition: |
| International Standard Book Number |
9783642213168 |
| 856 40 - ELECTRONIC LOCATION AND ACCESS |
|---|
| Uniform Resource Identifier |
http://dx.doi.org/10.1007/978-3-642-21317-5 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
|
| Item type |
E-Book |
