Detail publikačního výsledku

Frame based phoneme classification using large margin and kernel methods

PFEIFER, V.; BALÍK, M.

Originální název

Frame based phoneme classification using large margin and kernel methods

Anglický název

Frame based phoneme classification using large margin and kernel methods

Druh

Stať ve sborníku v databázi WoS či Scopus

Originální abstrakt

This Article deals with the frame-based phoneme classifiers. A new efficient sequence-based training algorithm is proposed along with the sequence-based classification function. This method had shown to be an effective trainign tool compared with the standard frame-based training algorithm. The proposed algorithm had been further completed with the non-linear transform (kernel methods). The proposed algorithm was evaluated over the TIMIT speech corpus.

Anglický abstrakt

This Article deals with the frame-based phoneme classifiers. A new efficient sequence-based training algorithm is proposed along with the sequence-based classification function. This method had shown to be an effective trainign tool compared with the standard frame-based training algorithm. The proposed algorithm had been further completed with the non-linear transform (kernel methods). The proposed algorithm was evaluated over the TIMIT speech corpus.

Klíčová slova

classifier, features, kernel, optimalization, phoneme, prototypes, speech, tree

Klíčová slova v angličtině

classifier, features, kernel, optimalization, phoneme, prototypes, speech, tree

Autoři

PFEIFER, V.; BALÍK, M.

Rok RIV

2013

Vydáno

20.08.2010

ISBN

978-963-88981-0-4

Kniha

Telecomunications and Signal Processing - TSP 2010

Strany od

1

Strany do

4

Strany počet

4

BibTex

@inproceedings{BUT25510,
  author="Václav {Pfeifer} and Miroslav {Balík}",
  title="Frame based phoneme classification using large margin and kernel methods",
  booktitle="Telecomunications and Signal Processing - TSP 2010",
  year="2010",
  pages="1--4",
  isbn="978-963-88981-0-4"
}