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ZELINKA, P. SIGMUND, M.
Originální název
Automatic Vocal Effort Detection for Reliable Speech Recognition
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
This paper describes an approach for enhancing the robustness of isolated words recognizer by extending its flexibility in the domain of speaker's variable vocal effort level. An analysis of spectral properties of spoken vowels in four various speaking modes (whispering, soft, normal, and loud) confirm consistent spectral tilt changes. Severe impact of vocal effort variability on the accuracy of a speaker-dependent word recognizer is presented and an efficient remedial measure using multiple-model framework paired with accurate speech mode detector is proposed.
Klíčová slova
vocal effort detection, speech recognition, hidden Markov models
Autoři
ZELINKA, P.; SIGMUND, M.
Rok RIV
2010
Vydáno
1. 9. 2010
Místo
Kittilä
ISBN
978-1-4244-7876-7
Kniha
Proceedings of the 2010 IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2010)
Strany od
349
Strany do
354
Strany počet
6
BibTex
@inproceedings{BUT35916, author="Petr {Zelinka} and Milan {Sigmund}", title="Automatic Vocal Effort Detection for Reliable Speech Recognition", booktitle="Proceedings of the 2010 IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2010)", year="2010", pages="349--354", address="Kittilä", isbn="978-1-4244-7876-7" }