Experiments with automatic segmentation for Czech speech synthesis

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F03%3A00000103" target="_blank" >RIV/49777513:23520/03:00000103 - 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

Experiments with automatic segmentation for Czech speech synthesis

Original language description

This paper deals with the automatic segmentation for Czech Concatenative speech synthesis. Statistical approach to speech segmentation using hidden Markov models (HMMs) is applied in the baseline system .Several experiments that concern various issues in the process of building the segmentation system, such as speech parameterization or HMM initialization problems, are described here. An objective comparison of various experimental automatic and manual segmentations is performed to find out the best settings of the segmentation system with respect to our single-female-speaker continuous speech corpus.

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

<a href="/en/project/GP102%2F02%2FP134" target="_blank" >GP102/02/P134: Statistical approach to automatic speech segment database construction for synthesis of Czech</a><br>

Continuities

Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2003

Confidentiality

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

Article name in the collection

Text, Speech and Dialogue

ISBN

3-540-20024-X

ISSN

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e-ISSN

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Number of pages

8

Pages from-to

287-294

Publisher name

Springer

Place of publication

Berlin

Event location

České Budějovice

Event date

Sep 8, 2003

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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