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Detail publikačního výsledku
MATĚJKA, P., SCHWARZ, P., KARAFIÁT, M., ČERNOCKÝ, J.
Originální název
Some like it Gaussian ...
Anglický název
Druh
Stať ve sborníku v databázi WoS či Scopus
Originální abstrakt
In Hidden Markov models, speech features are modeled by Gaussian distributions. In this paper, we propose to gaussianize the features to better fit to this modeling. A distribution of the data is estimated and a transform function is derived. We have tested two methods of the transform estimation (global and speaker based). The results are reported on recognition of isolated Czech words (SpeechDat-E) with CI and CD models and on medium vocabulary continuous speech recognition task (SPINE). Gaussianized data provided in all three cases results superior to standard MFC coefficients proving, that the gaussianization is a cheap way to increase the recognition accuracy.
Anglický abstrakt
Klíčová slova v angličtině
speech,speech recognition,gaussianization
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Vydáno
08.09.2002
Místo
Brno 2002
ISBN
3-540-44129-8
Kniha
Proceedings of the conference TSD'2002
Strany od
321
Strany počet
4
BibTex
@inproceedings{BUT4282, author="Pavel {Matějka} and Petr {Schwarz} and Martin {Karafiát} and Jan {Černocký}", title="Some like it Gaussian ...", booktitle="Proceedings of the conference TSD'2002", year="2002", number="1", pages="4", address="Brno 2002", isbn="3-540-44129-8" }