Přejít na obsah

Publikace

Detail publikace

Citace

Zelinka Jan and Šmídl Luboš and Trmal Jan and Müller Luděk : Posterior Estimates and Transforms for Speech Recognition . Lecture Notes in Artificial Intelligence, vol. 2010, p. 480-487, Springer, Heidelberg, 2010.

Abstrakt

This paper describes ANN based posterior estimates and their application to speech recognition. We replaced the standard back-propagation with the L-BFGS quasi-Newton method. We have focused only on posterior based feature vector extraction. Our goal was a feature vector dimension reduction. Thus we designed three posterior transforms to space with dimensionality 1 or 2. The designed transforms were tested on the SpeechDat-East corpus. We also applied the introduced method on a Czech audio-visual corpus. In both cases the methods leads to significant word error rate decrease.

Abstrakt v češtině

Článek pojednává o odhadu a transformaci posteriororů.

Detail publikace

Název: Posterior Estimates and Transforms for Speech Recognition
Autor: Zelinka Jan ; Šmídl Luboš ; Trmal Jan ; Müller Luděk
Název - česky: Posteriory - odhad a jejich transformace
Jazyk publikace: anglicky
Rok vydání: 2010
Typ publikace: Článek z časopisu
Název časopisu / knihy: Lecture Notes in Artificial Intelligence
Číslo vydání: 2010
Strana: 480 - 487
ISSN: 0302-9743
Nakladatel: Springer
Místo vydání: Heidelberg
2011-03-15 16:21:58 / 2011-03-15 16:21:58 / 1

Klíčová slova

posteriors

Klíčová slova v češtině

posteriory

BibTeX

@ARTICLE{ZelinkaJan_2010_PosteriorEstimates,
 author = {Zelinka Jan and \v{S}m\'{i}dl Lubo\v{s} and Trmal Jan and M\"{u}ller Lud\v{e}k},
 title = {Posterior Estimates and Transforms for Speech Recognition},
 year = {2010},
 publisher = {Springer},
 journal = {Lecture Notes in Artificial Intelligence},
 address = {Heidelberg},
 volume = {2010},
 pages = {480-487},
 ISSN = {0302-9743},
 url = {http://www.kky.zcu.cz/en/publications/ZelinkaJan_2010_PosteriorEstimates},
}