dc.contributor.author |
Badenhorst, J
|
|
dc.contributor.author |
Davel, MH
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|
dc.contributor.author |
Barnard, E
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|
dc.date.accessioned |
2012-02-24T12:55:41Z |
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dc.date.available |
2012-02-24T12:55:41Z |
|
dc.date.issued |
2011-11 |
|
dc.identifier.citation |
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 |
en_US |
dc.identifier.uri |
http://hdl.handle.net/10204/5600
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|
dc.description |
The 22 International Symposium of the Pattern Recognition Association of South Africa, Prasa 2011, Vanderbijlpark, South Africa, 22-25 November 2011 |
en_US |
dc.description.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. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
PRASA |
en_US |
dc.relation.ispartofseries |
Workflow;8132 |
|
dc.subject |
Phonemic context sizes |
en_US |
dc.subject |
Temporal trajectories |
en_US |
dc.subject |
Mel Frequency Cepstral Coefficients |
en_US |
dc.subject |
Phone transitions |
en_US |
dc.title |
Trajectory behaviour at different phonemic context sizes |
en_US |
dc.type |
Conference Presentation |
en_US |
dc.identifier.apacitation |
Badenhorst, J., Davel, M., & Barnard, E. (2011). Trajectory behaviour at different phonemic context sizes. PRASA. http://hdl.handle.net/10204/5600 |
en_ZA |
dc.identifier.chicagocitation |
Badenhorst, J, MH Davel, and E Barnard. "Trajectory behaviour at different phonemic context sizes." (2011): http://hdl.handle.net/10204/5600 |
en_ZA |
dc.identifier.vancouvercitation |
Badenhorst J, Davel M, Barnard E, Trajectory behaviour at different phonemic context sizes; PRASA; 2011. http://hdl.handle.net/10204/5600 . |
en_ZA |
dc.identifier.ris |
TY - Conference Presentation
AU - Badenhorst, J
AU - Davel, MH
AU - Barnard, E
AB - 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.
DA - 2011-11
DB - ResearchSpace
DP - CSIR
KW - Phonemic context sizes
KW - Temporal trajectories
KW - Mel Frequency Cepstral Coefficients
KW - Phone transitions
LK - https://researchspace.csir.co.za
PY - 2011
T1 - Trajectory behaviour at different phonemic context sizes
TI - Trajectory behaviour at different phonemic context sizes
UR - http://hdl.handle.net/10204/5600
ER -
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en_ZA |