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SCHWARZ, P., MATĚJKA, P., ČERNOCKÝ, J.
Original Title
Towards Lower Error Rates in Phoneme Recognition
English Title
Type
Peer-reviewed article not indexed in WoS or Scopus
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.
English abstract
Keywords
phoneme recognition, traps, speech recognition, feature extraction
Key words in English
Authors
Released
08.09.2004
Publisher
Springer
Location
Spolková republika Německo
Book
Lecture Notes in Computer Science
ISBN
0302-9743
Periodical
Volume
2004
Number
3206
State
Federal Republic of Germany
Pages from
465
Pages count
8
URL
http://www.springerlink.com/index/KBY35VBXY16WHV56
BibTex
@article{BUT45379, 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="8", issn="0302-9743", url="http://www.springerlink.com/index/KBY35VBXY16WHV56" }