Publication detail

Phoneme Recognition using Temporal Patterns

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

Original Title

Phoneme Recognition using Temporal Patterns

Type

conference paper

Language

English

Original 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.

Key words in English

Speech,recognition,phoneme,temporal pattern

Authors

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

RIV year

2003

Released

8. 9. 2003

ISBN

3-540-20024-X

Book

In Proceedings of the conference TSD'2003. International Conference on Text Speech and Dialogue, TSD 2003

Pages from

198

Pages to

205

Pages count

8

BibTex

@inproceedings{BUT7941,
  author="Pavel {Matějka} and Petr {Schwarz} and Jan {Černocký} and Hynek {Heřmanský}",
  title="Phoneme Recognition using Temporal Patterns",
  booktitle="In Proceedings of the conference TSD'2003. International Conference on Text Speech and Dialogue, TSD 2003",
  year="2003",
  volume="2003",
  pages="8",
  isbn="3-540-20024-X"
}