Conference paper

MATĚJKA Pavel, SCHWARZ Petr, KARAFIÁT Martin and ČERNOCKÝ Jan. Some like it Gaussian... In: Proc. 5th International Conference Text, Speech and Dialogue, TSD2002. Berlin: Springer Verlag, 2002, pp. 321-324. ISBN 3-540-44129-8.
Publication language:english
Original title:Some like it Gaussian...
Title (cs):Někdo to má rád Gausianizované ...
Proceedings:Proc. 5th International Conference Text, Speech and Dialogue, TSD2002
Conference:5th International conference Text, Speech and Dialogue, TSD 2002
Series:Lecture notes in artificial intelligence 2448
Place:Berlin, DE
Publisher:Springer Verlag
speech recognition, feature extraction, Gaussianization, non-linear transform
Gaussianization of speech features to improve recognition accuracy
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
   author = {Pavel Mat{\v{e}}jka and Petr Schwarz and Martin
	Karafi{\'{a}}t and Jan {\v{C}}ernock{\'{y}}},
   title = {Some like it Gaussian...},
   pages = {321--324},
   booktitle = {Proc. 5th International Conference Text, Speech and
	Dialogue, TSD2002},
   series = {Lecture notes in artificial intelligence 2448},
   year = {2002},
   location = {Berlin, DE},
   publisher = {Springer Verlag},
   ISBN = {3-540-44129-8},
   language = {english},
   url = {}

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