Detail publikace

Phoneme Recognition using Temporal Patterns

MATĚJKA, P. SCHWARZ, P. HEŘMANSKÝ, H. ČERNOCKÝ, J.

Originální název

Phoneme Recognition using Temporal Patterns

Typ

článek ve sborníku mimo WoS a 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

MATĚJKA, P.; SCHWARZ, P.; HEŘMANSKÝ, H.; ČERNOCKÝ, J.

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"
}