Název: | The application of Bayesian information criterion in acoustic model refinement |
Autoři: | Kolář, Jáchym Müller, Luděk |
Citace zdrojového dokumentu: | KOLÁŘ, Jáchym; MÜLLER, Luděk. The application of bayesian information criterion in acoustic model refinement. In: Call for papers ECMS 2003: 6 th international workshop on electronics, control, measurement, and signals 2003, 2nd-4th June 2003, Technical University of Liberec Liberec, Czech Republic. Liberec: Technical University of Liberec, 20003, p. 44-48. ISBN 80-7083-708-X |
Datum vydání: | 2003 |
Nakladatel: | Technical University of Liberec |
Typ dokumentu: | článek article |
URI: | http://www.kky.zcu.cz/cs/publications/KolarJ_2003_TheApplicationof http://hdl.handle.net/11025/17118 |
ISBN: | 80-7083-708-X |
Klíčová slova: | bayesinova informační kritéria;akustické modelování;skryté Markovovy modely;automatické rozpoznávání řeči |
Klíčová slova v dalším jazyce: | bayesian information criterion;acoustic modeling;hidden Markov models;automatic speech recognition |
Abstrakt v dalším jazyce: | Automatic speech recognition (ASR) systems usually consist of an acoustic model and a language model. This paper describes a technique of an efficient deployment of the acoustic model parameters. The acoustic model typically utilizes Continuous Density Hidden Markov Models (CDHMM). The output probability of a particular CDHMM state is represented by a Gaussian mixture density with a diagonal covariance structure. Usually, the output probability density function of each CDHMM state contains the same number of mixture components although a different number of components in individual states may yield more accurate recognition results, especially for low-resource ASR systems. The central idea is to assign more components to states where it is effective and less components to states where the increasing number of components is not warranting a significantly better description of the training data. The number of mixture components for a particular CDHMM state is chosen by optimizing the Bayesian Information Criterion (BIC). |
Práva: | © Jáchym Kolář - Luděk Müller |
Vyskytuje se v kolekcích: | Články / Articles (KKY) |
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Soubor | Popis | Velikost | Formát | |
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KolarJ_2003_TheApplicationof.pdf | Plný text | 46,09 kB | Adobe PDF | Zobrazit/otevřít |
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http://hdl.handle.net/11025/17118
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