Some like it Gaussian ...
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F02%3APU29734" target="_blank" >RIV/00216305:26220/02:PU29734 - isvavai.cz</a>
Alternative codes found
RIV/00216305:26220/02:PU36267 RIV/00216305:26230/02:PU36267
Result on the web
—
DOI - Digital Object Identifier
—
Alternative languages
Result language
angličtina
Original language name
Some like it Gaussian ...
Original language description
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). Gaussianizedddata provided in all three cases results superior to standard MFC coefficients proving, that the gaussianization is a cheap way to increase the recognition accuracy.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
JA - Electronics and optoelectronics
OECD FORD branch
—
Result continuities
Project
<a href="/en/project/GA102%2F02%2F0124" target="_blank" >GA102/02/0124: Voice technologies for support of information society</a><br>
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2002
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the conference TSD'2002
ISBN
3-540-44129-8
ISSN
—
e-ISSN
—
Number of pages
4
Pages from-to
321-324
Publisher name
Neuveden
Place of publication
Brno 2002
Event location
Brno
Event date
Sep 9, 2002
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—