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 [BibTeX] [Marc21]
Improving Continuous Speech Recognition System Performance with Grapheme Modelling
Type of publication: Idiap-RR
Citation: magimai05a
Number: Idiap-RR-16-2005
Year: 2005
Institution: IDIAP
Abstract: This paper investigates automatic speech recognition system using context-dependent graphemes as subword units based on the conventional HMM/GMM system as well as TANDEM system. Experimental studies conducted on two different continuous speech recognition tasks show that systems using only context-dependent graphemes can yield competitive performance when compared to state-of-the-art context-dependent phoneme-based automatic speech recognition system. We further demonstrate that a system using both context-dependent phoneme and grapheme subword units can out perform either of these systems alone.
Userfields: ipdmembership={speech},
Projects Idiap
Authors Magimai.-Doss, Mathew
Dines, John
Bourlard, Hervé
Hermansky, Hynek
Added by: [UNK]
Total mark: 0
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