Result Details

Phoneme Recognition using Temporal Patterns

MATĚJKA, P.; SCHWARZ, P.; HEŘMANSKÝ, H.; ČERNOCKÝ, J. Phoneme Recognition using Temporal Patterns. Proc. 6th International Conference Text, Speech and Dialogue, TSD2003. Ceske Budejovice: Springer Verlag, 2003. p. 465-472. ISBN: 3-540-20024-X.
Type
conference paper
Language
English
Authors
Matějka Pavel, Ing., Ph.D.
Schwarz Petr, Ing., Ph.D.
Heřmanský Hynek, prof. Ing., Dr. Eng.
Černocký Jan, prof. Dr. Ing.
Abstract

We investigate and compare several techniques for automatic recognitionof unconstrained context-independent phoneme strings from TIMIT andNTIMIT databases. Among the compared techniques, the technique based onTempoRAl Patterns (TRAP) achieves the best results in the clean speech,it achieves about 10% relative improovements against baseline system.Its advantage is also observed in the presence of mismatch betweentraining and testing conditions. Issues such as the optimal length oftemporal patterns in the TRAP technique and the effectiveness of meanand variance normalization of the patterns and the multi-band input theTRAP estimations, are also explored.

Keywords

speech recognition, feature extraction, temporal patterns

Published
2003
Pages
465–472
Proceedings
Proc. 6th International Conference Text, Speech and Dialogue, TSD2003
Conference
International Conference on Text Speech and Dialogue, TSD 2003
ISBN
3-540-20024-X
Publisher
Springer Verlag
Place
Ceske Budejovice
BibTeX 
@inproceedings{BUT14184,
  author="Pavel {Matějka} and Petr {Schwarz} and Hynek {Heřmanský} and Jan {Černocký}",
  title="Phoneme Recognition using Temporal Patterns",
  booktitle="Proc. 6th International Conference Text, Speech and Dialogue, TSD2003",
  year="2003",
  pages="465--472",
  publisher="Springer Verlag",
  address="Ceske Budejovice",
  isbn="3-540-20024-X"
}
Projects
Data driven and anthropic coding and recognition of speech, GACR, Postdoktorandské granty, GP102/02/D108, start: 2002-09-01, end: 2005-08-30, completed
Voice technologies for support of information society, GACR, Standardní projekty, GA102/02/0124, start: 2002-01-01, end: 2004-12-31, completed
Research groups
Speech Data Mining Research Group BUT Speech@FIT (RG SPEECH)
Departments
Department of Radio Electronics (UREL)
Faculty of Electrical Engineering and Communication (FEEC)
Faculty of Information Technology (FIT)
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