A Symmetrization of the Subspace Gaussian Mixture Model
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F11%3APU96081" target="_blank" >RIV/00216305:26230/11:PU96081 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
A Symmetrization of the Subspace Gaussian Mixture Model
Original language description
We have described a modification to the Subspace Gaussian Mixture Model which we call the Symmetric SGMM. This is a very natural extension which removes an asymmetry in the way the Gaussian mixture weights were previously computed. The extra computationis minimal but the memory used for the acoustic model is nearly doubled. Our experimental results were inconsistent: on one setup we got a large improvement of 1.5% absolute, and on another setup it was much smaller.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JC - Computer hardware and software
OECD FORD branch
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Result continuities
Project
<a href="/en/project/FR-TI1%2F034" target="_blank" >FR-TI1/034: Multilingual recognition and search in speech for electronic dicionaries</a><br>
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of 2011 IEEE International Conference on Acoustics, Speech, and Signal Processing
ISBN
978-1-4577-0537-3
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
4504-4507
Publisher name
IEEE Signal Processing Society
Place of publication
Praha
Event location
Praha
Event date
May 22, 2011
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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