German and czech speech synthesis using HMM-based speech segment database

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F02%3A00071531" target="_blank" >RIV/49777513:23520/02:00071531 - 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

German and czech speech synthesis using HMM-based speech segment database

Original language description

This paper presents an experimental German speech synthesis system. As in case of a Czech text-to-speech system ARTIC, statistical approach (using hidden Markov models) was employed to build a speech segment database. This approach was confirmed to be language independent and it was shown to be capable of designing a quality database that led to an intelligible synthetic speech of a high quality. Some experiments with clustering the similar speech contexts were performed to enhance the quality of the synthetic speech. Our results show the superiority of phoneme-level clustering to subphoneme-level one.

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

2002

Confidentiality

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

Article name in the collection

German and czech speech synthesis using HMM-based speech segment database

ISBN

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ISSN

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e-ISSN

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Number of pages

1

Pages from-to

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Publisher name

Neuveden

Place of publication

Neuveden

Event location

Neuveden

Event date

Jan 1, 2002

Type of event by nationality

CST - Celostátní akce

UT code for WoS article

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