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Please use this identifier to cite or link to this item: http://hdl.handle.net/10204/5512

Title: Appropriate baseline values for HMM-based speech recognition
Authors: Barnard, E
Gouws, E
Wolvaardt, K
Kleynhans, N
Keywords: Hidden markov models
Pronunciation dictionaries
Human language technologies
Speech recognition
PRASA 2004
Pattern recognition
Issue Date: Nov-2004
Publisher: PRASA 2004
Citation: Barnard, E, Gouws, E, Wolvaardt, K and Kleynhans, N. 2004. Appropriate baseline values for HMM-based speech recognition. 15th Annual Symposium of the Pattern Recognition Association of South Africa, Grabouw, South Africa, 25 to 26 November 2004
Abstract: A number of issues realted to the development of speech-recognition systems with Hidden Markov Models (HMM) are discussed. A set of systematic experiments using the HTK toolkit and the TMIT database are used to elucidate matters such as the number of mixtures to use for a particular training-set size, the utility of various feature sets, the value of triphone modeling, etc.
Description: 15th Annual Symposium of the Pattern Recognition Association of South Africa, Grabouw, South Africa, 25 to 26 November 2004
URI: http://hdl.handle.net/10204/5512
Appears in Collections:Human language technologies
General science, engineering & technology

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