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Title
Trajectory behaviour at different phonemic context sizes |
Full text
http://hdl.handle.net/10204/5600 |
Date
2011 |
Author(s)
Badenhorst, J; Davel, MH; Barnard, E |
Abstract
The authors propose a piecewise-linear model for the temporal trajectories of Mel Frequency Cepstral Coefficients during phone transitions. As with conventional Hidden Markov Models, the parameters of the model can be estimated for different phonemic context sizes, but their model allows for an intuitive understanding of the impact of context size. They find that the most detailed models, predictably, match the coefficient tracks best - but when data scarcity forces them to use less detailed models, different types of context modelling (clustered triphones versus biphones) have complimentary behaviours. The authors discuss how this complimentarity may be useful for data-efficient ASR. - The 22 International Symposium of the Pattern Recognition Association of South Africa, Prasa 2011, Vanderbijlpark, South Africa, 22-25 November 2011 |
Subject(s)
Phonemic context sizes; Temporal trajectories; Mel Frequency Cepstral Coefficients; Phone transitions |
Language
en |
Publisher
PRASA |
Relation
Workflow;8132 |
Type of publication
Presentation |
Identifier
Badenhorst, J, Davel, MH and Barnard, E. Trajectory behaviour at different phonemic context sizes. The 22 International Symposium of the Pattern Recognition Association of South Africa, Prasa 2011, Vanderbijlpark, South Africa, 22-25 November 2011 |
Repository
Pretoria - Council for Scientific and Industrial Research (CSIR)
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Added to C-A: 2017-01-27;13:46:11 |
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