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MATĚJKA, P.; SCHWARZ, P.; HEŘMANSKÝ, H.; ČERNOCKÝ, J.
Original Title
Phoneme Recognition using Temporal Patterns
English Title
Type
Paper in proceedings outside WoS and Scopus
Original 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.
English abstract
Keywords
speech recognition, feature extraction, temporal patterns
Key words in English
Authors
Released
27.06.2003
Publisher
Springer Verlag
Location
Ceske Budejovice
ISBN
3-540-20024-X
Book
Proc. 6th International Conference Text, Speech and Dialogue, TSD2003
Pages from
465
Pages to
472
Pages count
8
Full text in the Digital Library
http://hdl.handle.net/
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" }