Detail publikace

An Efficient training algorithm for frame-based phoneme classification

PFEIFER, V. VRBA, K. MÜLLER, J.

Originální název

An Efficient training algorithm for frame-based phoneme classification

Anglický název

An Efficient training algorithm for frame-based phoneme classification

Jazyk

en

Originální abstrakt

This paper proposed new afficient training algorithm for a hiearchical frame-based phoneme classifier. THis hiearchical structure represents a simple metric over the tree root structure. The proposed classification function is based on the linear classification problem where each phoneme has its own weight vector which is trained during the learning phase. The results clearly shows that our proposed algorithm outperforms all the others. All the evaluation have been performed over the timit speech corpus.

Anglický abstrakt

This paper proposed new afficient training algorithm for a hiearchical frame-based phoneme classifier. THis hiearchical structure represents a simple metric over the tree root structure. The proposed classification function is based on the linear classification problem where each phoneme has its own weight vector which is trained during the learning phase. The results clearly shows that our proposed algorithm outperforms all the others. All the evaluation have been performed over the timit speech corpus.

Dokumenty

BibTex


@inproceedings{BUT35247,
  author="Václav {Pfeifer} and Kamil {Vrba} and Jakub {Müller}",
  title="An Efficient training algorithm for frame-based phoneme classification",
  annote="This paper proposed new afficient training algorithm for a hiearchical frame-based phoneme classifier. THis hiearchical structure represents a simple metric over the tree root structure. The proposed classification function is based on the linear classification problem where each phoneme has its own weight vector which is trained during the learning phase. The results clearly shows that our proposed algorithm outperforms all the others. All the evaluation have been performed over the timit speech corpus.",
  booktitle="Research in Telecomunication Technology - RTT 2010",
  chapter="35247",
  howpublished="electronic, physical medium",
  year="2010",
  month="september",
  pages="1--5",
  type="conference paper"
}