Statistical approach to the automatic synthesis of czech speech

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F99%3A00042755" target="_blank" >RIV/49777513:23520/99:00042755 - 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

Statistical approach to the automatic synthesis of czech speech

Original language description

The usage of multiple Hidden Markov Models (HMMs) to construct a Czech speech segment database (SSD) and a speech synthesis based on this inventory are presented in this paper. HMMs are used to model triphones. Binary decision trees are applied to automatically cluster the states of triphone HMMs. The clustered states are then employed to automatically segment the speech corpus and to create a SSD. The SSD constructed in this way is assumed to enable more precise context modeling than was previously possible. Several speech techniques are discussed to construct a concatenation-based synthesizer. Special attention is paid to an MFCC-based pitch-synchronous residually excited approach.

Czech name

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Czech description

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Type

C - Chapter in a specialist book

CEP classification

JD - Use of computers, robotics and its application

OECD FORD branch

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Project

<a href="/en/project/VS97159" target="_blank" >VS97159: Center for research in the field of cybernetic systems</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

Book/collection name

Statistical approach to the automatic synthesis of czech speech

ISBN

3540664947

Number of pages of the result

4

Pages from-to

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Number of pages of the book

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Publisher name

Springer

Place of publication

Berlin

UT code for WoS chapter

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