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 [BibTeX] [Marc21]
Modeling Auxiliary Information in Bayesian Network Based ASR
Type of publication: Idiap-RR
Citation: stephenson01a
Number: Idiap-RR-11-2001
Year: 2001
Institution: IDIAP
Note: In ``7th European Conference on Speech Communication and Technology (Eurospeech~2001)'', 2001
Abstract: Automatic speech recognition bases its models on the acoustic features derived from the speech signal. Some have investigated replacing or supplementing these features with information that can not be precisely measured (articulator positions, pitch, gender, etc.) automatically. Consequently, automatic estimations of the desired information would be generated. This data can degrade performance due to its imprecisions. In this paper, we describe a system that treats pitch as an auxiliary information within the framework of Bayesian networks, resulting in improved performance.
Userfields: ipdmembership={speech},
Projects Idiap
Authors Stephenson, Todd Andrew
Magimai.-Doss, Mathew
Bourlard, Hervé
Crossref by stephenson01b
Added by: [UNK]
Total mark: 0
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