Independent components for acoustic modeling
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F06%3A00500117" target="_blank" >RIV/49777513:23520/06:00500117 - 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
Independent components for acoustic modeling
Original language description
In the paper, we present a comparative study of several methods used nowadays in the field of feature and information extraction. We compared several Independent Component Analysis (ICA) algorithms together with the commonly used Principal Component Analysis (PCA) algorithm in two real-world tasks. The first task was a Voice Activity Detection (VAD), the second is Speaker Verification and Recognition (SVR). The VAD system as well as the SVR system benefited from the ICA decompositions. Moreover, a briefcomparison of the information extraction ability is described.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2006
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Interspeech 2006 and 9th International Conference on Spoken Language Processing
ISBN
978-1-60423-449-7
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
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Publisher name
Curran Associates
Place of publication
New York
Event location
Pittsburgh
Event date
Sep 21, 2006
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000269965901359