Publication detail

Phoneme Recognition using Temporal Patterns

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

Original Title

Phoneme Recognition using Temporal Patterns

Type

article in a collection out of WoS and Scopus

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.

Keywords

speech recognition, feature extraction, temporal patterns

Authors

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

RIV year

2003

Released

27. 6. 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

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"
}