A Segmental Approach to Text-Independent Speaker Verification
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F99%3A43400042" target="_blank" >RIV/00216305:26220/99:43400042 - 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 Segmental Approach to Text-Independent Speaker Verification
Original language description
Comparison of two methods of segmental, text-independent speaker verification with ALISP pre-processing: GMM (Gaussian Mixture Models) and ANN (Artificial Neural Networks). Discussion of methods for merging of class-scores.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JA - Electronics and optoelectronics
OECD FORD branch
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Result continuities
Project
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
1999
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 the 6th European Conference on Speech Communication and Technology EUROSPEECH'99
ISBN
1018-4074
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
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Publisher name
Technical University Budapest
Place of publication
Budapest (Hungary)
Event location
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Event date
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Type of event by nationality
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UT code for WoS article
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