Speech synthesis using HMM-based acoustic unit inventory

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F99%3A00043153" target="_blank" >RIV/49777513:23520/99:00043153 - 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

Speech synthesis using HMM-based acoustic unit inventory

Original language description

The usage of multiple Hidden Markov Models (HMMs) to prepare a Czech acoustic unit inventory and speech synthesis based on this inventory are presented in this paper. Triphone HMMs are trained on the basis of the speech corpus spoken by a single speaker.The states of triphone HMMs are automatically clustered down using binary decision trees. The clustered states are then used to automatically segment the speech corpus and to create a speech segment database. The acoustic unit inventory constructed in this way is assumed to enable more precise context modeling than was previously possible. Concatenation-based speech synthesizer can be designed on the basis of the speech segment database. Several speech synthesis techniques are discussed for this purpose. In the end, a Czech text-to-speech (TTS) system is presented.

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

JD - Use of computers, robotics and its application

OECD FORD branch

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Project

<a href="/en/project/GV102%2F96%2FK087" target="_blank" >GV102/96/K087: Theory and application of speach communication in czech</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

1999

Confidentiality

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

Name of the periodical

Eurospeech '99

ISSN

10184074

e-ISSN

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Volume of the periodical

1

Issue of the periodical within the volume

1

Country of publishing house

DE - GERMANY

Number of pages

4

Pages from-to

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UT code for WoS article

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EID of the result in the Scopus database

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