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SCHWARZ, P., MATĚJKA, P., ČERNOCKÝ, J.
Original Title
Towards Lower Error Rates in Phoneme Recognition
Type
conference paper
Language
English
Original Abstract
We investigate techniques for acoustic modeling in automatic recognition of context-independent phoneme strings from the TIMIT database. The baseline phoneme recognizer is based on TempoRAl Patterns (TRAP). This recognizer is simplified to shorten processing times and reduce computational requirements. More states per phoneme and bi-gram language models are incorporated into the system and evaluated. The question of insufficient amount of training data is discussed and the system is improved. All modifications lead to a faster system with about 23.6% relative improvement over the baseline in phoneme error rate.
Keywords
phoneme recognition, traps, speech recognition, feature extraction
Authors
Released
8. 9. 2004
Publisher
Springer
Location
Brno
ISBN
3-540-23049-1
Book
Proceedings of 7th International Conference Text,Speech and Dialoque 2004
Pages from
465
Pages to
472
Pages count
8
BibTex
@inproceedings{BUT11959, author="Petr {Schwarz} and Pavel {Matějka} and Jan {Černocký}", title="Towards Lower Error Rates in Phoneme Recognition", booktitle="Proceedings of 7th International Conference Text,Speech and Dialoque 2004", year="2004", pages="8", publisher="Springer", address="Brno", isbn="3-540-23049-1" }