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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 automaticrecognition of context-independent phoneme strings from the TIMITdatabase. The baseline phoneme recognizer is based on TempoRAl Patterns(TRAP). This recognizer is simplified to shorten processing times andreduce computational requirements. More states per phoneme and bi-gramlanguage models are incorporated into the system and evaluated. Thequestion of insufficient amount of training data is discussed and thesystem is improved. All modifications lead to a faster system withabout 23.6% relative improvement over the baseline in phoneme errorrate.
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
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" }