Detail publikace

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

Jazyk

en

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.

Dokumenty

BibTex


@inproceedings{BUT25510,
  author="Václav {Pfeifer} and Miroslav {Balík}",
  title="Frame based phoneme classification using large margin and kernel methods",
  annote="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.",
  booktitle="Telecomunications and Signal Processing - TSP 2010",
  chapter="25510",
  howpublished="electronic, physical medium",
  year="2010",
  month="august",
  pages="1--4",
  type="conference paper"
}