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 [BibTeX] [Marc21]
Modeling Auxiliary Information in Bayesian Network Based ASR
Type of publication: Conference paper
Citation: stephenson01b
Booktitle: 7th European Conference on Speech Communication and Technology (Eurospeech~2001)
Volume: 4
Year: 2001
Month: 9
Address: Aalborg, Denmark
Note: IDIAP-RR 01-11
Crossref: stephenson01a:
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
Added by: [UNK]
Total mark: 0
  • euro01.pdf
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