Detail publikace

Towards Lower Error Rates in Phoneme Recognition

SCHWARZ, P. MATĚJKA, P. ČERNOCKÝ, J.

Originální název

Towards Lower Error Rates in Phoneme Recognition

Typ

článek v časopise - ostatní, Jost

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

phoneme recognition, traps, speech recognition, feature extraction

Autoři

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

Rok RIV

2004

Vydáno

8. 9. 2004

ISSN

0302-9743

Periodikum

Lecture Notes in Computer Science

Ročník

2004

Číslo

3206

Stát

Spolková republika Německo

Strany od

465

Strany do

472

Strany počet

8

URL

http://www.springerlink.com/index/KBY35VBXY16WHV56

BibTex

@article{BUT45739,
  author="Petr {Schwarz} and Pavel {Matějka} and Jan {Černocký}",
  title="Towards Lower Error Rates in Phoneme Recognition",
  journal="Lecture Notes in Computer Science",
  year="2004",
  volume="2004",
  number="3206",
  pages="465--472",
  issn="0302-9743",
  url="http://www.springerlink.com/index/KBY35VBXY16WHV56"
}