Influence of different hidden Markov models topologies and parameterization on speech corpus segmentation accuracy

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F01%3A00065613" target="_blank" >RIV/49777513:23520/01:00065613 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Influence of different hidden Markov models topologies and parameterization on speech corpus segmentation accuracy

Original language description

We examine an influence of different HMM topologies and parameterization methods on the segmentation accuracy. Three different topologies of hidden Markov models were used. Some sentences were segmented manually to compare the segmentation accuracy.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

JD - Use of computers, robotics and its application

OECD FORD branch

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Project

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Continuities

Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2001

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Influence of different hidden Markov models topologies and parameterization on speech corpus segmentation accuracy

ISBN

04886269078

ISSN

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e-ISSN

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Number of pages

3

Pages from-to

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Publisher name

Akademie věd ČR

Place of publication

Praha

Event location

Praha

Event date

Jan 1, 2001

Type of event by nationality

CST - Celostátní akce

UT code for WoS article

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