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Detail publikace
MATĚJKA, P., SCHWARZ, P., HEŘMANSKÝ, H., ČERNOCKÝ, J.
Originální název
Phoneme Recognition using Temporal Patterns
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
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.
Klíčová slova
speech recognition, feature extraction, temporal patterns
Autoři
Rok RIV
2003
Vydáno
27. 6. 2003
Nakladatel
Springer Verlag
Místo
Ceske Budejovice
ISBN
3-540-20024-X
Kniha
Proc. 6th International Conference Text, Speech and Dialogue, TSD2003
Strany od
465
Strany do
472
Strany počet
8
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" }