Discriminative Learning for Speech Recognition (Record no. 85187)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 04413nam a22005175i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 978-3-031-02557-0 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20240730164002.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 220601s2008 sz | s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9783031025570 |
| -- | 978-3-031-02557-0 |
| 082 04 - CLASSIFICATION NUMBER | |
| Call Number | 621.3 |
| 100 1# - AUTHOR NAME | |
| Author | He, Xiadong. |
| 245 10 - TITLE STATEMENT | |
| Title | Discriminative Learning for Speech Recognition |
| Sub Title | Theory and Practice / |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 1st ed. 2008. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | VII, 112 p. |
| 490 1# - SERIES STATEMENT | |
| Series statement | Synthesis Lectures on Speech and Audio Processing, |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Remark 2 | Introduction and Background -- Statistical Speech Recognition: A Tutorial -- Discriminative Learning: A Unified Objective Function -- Discriminative Learning Algorithm for Exponential-Family Distributions -- Discriminative Learning Algorithm for Hidden Markov Model -- Practical Implementation of Discriminative Learning -- Selected Experimental Results -- Epilogue -- Major Symbols Used in the Book and Their Descriptions -- Mathematical Notation -- Bibliography. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | In this book, we introduce the background and mainstream methods of probabilistic modeling and discriminative parameter optimization for speech recognition. The specific models treated in depth include the widely used exponential-family distributions and the hidden Markov model. A detailed study is presented on unifying the common objective functions for discriminative learning in speech recognition, namely maximum mutual information (MMI), minimum classification error, and minimum phone/word error. The unification is presented, with rigorous mathematical analysis, in a common rational-function form. This common form enables the use of the growth transformation (or extended Baum-Welch) optimization framework in discriminative learning of model parameters. In addition to all the necessary introduction of the background and tutorial material on the subject, we also included technical details on the derivation of the parameter optimization formulas for exponential-family distributions, discrete hidden Markov models (HMMs), and continuous-density HMMs in discriminative learning. Selected experimental results obtained by the authors in firsthand are presented to show that discriminative learning can lead to superior speech recognition performance over conventional parameter learning. Details on major algorithmic implementation issues with practical significance are provided to enable the practitioners to directly reproduce the theory in the earlier part of the book into engineering practice. Table of Contents: Introduction and Background / Statistical Speech Recognition: A Tutorial / Discriminative Learning: A Unified Objective Function / Discriminative Learning Algorithm for Exponential-Family Distributions / Discriminative Learning Algorithm for Hidden Markov Model / Practical Implementation of Discriminative Learning / Selected Experimental Results / Epilogue / Major Symbols Used in the Book and Their Descriptions / Mathematical Notation / Bibliography. |
| 700 1# - AUTHOR 2 | |
| Author 2 | Deng, Li. |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | https://doi.org/10.1007/978-3-031-02557-0 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | eBooks |
| 264 #1 - | |
| -- | Cham : |
| -- | Springer International Publishing : |
| -- | Imprint: Springer, |
| -- | 2008. |
| 336 ## - | |
| -- | text |
| -- | txt |
| -- | rdacontent |
| 337 ## - | |
| -- | computer |
| -- | c |
| -- | rdamedia |
| 338 ## - | |
| -- | online resource |
| -- | cr |
| -- | rdacarrier |
| 347 ## - | |
| -- | text file |
| -- | |
| -- | rda |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Electrical engineering. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Signal processing. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Acoustical engineering. |
| 650 14 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Electrical and Electronic Engineering. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Signal, Speech and Image Processing. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Engineering Acoustics. |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
| -- | 1932-1678 |
| 912 ## - | |
| -- | ZDB-2-SXSC |
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