Publication Details

Recognition of Phoneme Strings using TRAP Technique

SCHWARZ Petr, MATĚJKA Pavel and ČERNOCKÝ Jan. Recognition of Phoneme Strings using TRAP Technique. In: Proceedings of 8th International Conference Eurospeech. Geneve: International Speech Communication Association, 2003, pp. 1-4. ISSN 1018-4074.
Czech title
Rozpoznávání fonémových proudů užitím TRAP tech.
Type
conference paper
Language
english
Authors
Schwarz Petr, Ing., Ph.D. (DCGM FIT BUT)
Matějka Pavel, Ing. (UREL FEEC BUT)
Černocký Jan, prof. Dr. Ing. (DCGM FIT BUT)
URL
Keywords

speech recognition, feature extraction, TRAP

Abstract

We investigate and compare several techniques for automatic recognition of unconstrained context-independent phoneme strings from TIMIT and NTIMIT databases. Among the compared techniques, the technique based on TempoRAl 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 between training and testing conditions. Issues such as the optimal length of temporal patterns in the TRAP technique and the effectiveness of mean and variance normalization of the patterns and the multi-band input the TRAP estimations, are also explored.

Published
2003
Pages
1-4
Journal
European Speech Communication, vol. 2003, no. 9, ISSN 1018-4074
Proceedings
Proceedings of 8th International Conference Eurospeech
Conference
Eurospeech 2003-Switzerland - 8th European conference on speech communication and technology, Geneva, CH
Publisher
International Speech Communication Association
Place
Geneve, CH
BibTeX 
@INPROCEEDINGS{FITPUB7229,
   author = "Petr Schwarz and Pavel Mat\v{e}jka and Jan \v{C}ernock\'{y}",
   title = "Recognition of Phoneme Strings using TRAP Technique",
   pages = "1--4",
   booktitle = "Proceedings of 8th International Conference Eurospeech",
   journal = "European Speech Communication",
   volume = 2003,
   number = 9,
   year = 2003,
   location = "Geneve, CH",
   publisher = "International Speech Communication Association",
   ISSN = "1018-4074",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/7229"
}
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