Artic: a new czech text-to-speech system using statistical approach to speech segment database construction
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F00%3A00056775" target="_blank" >RIV/49777513:23520/00:00056775 - isvavai.cz</a>
Result on the web
—
DOI - Digital Object Identifier
—
Alternative languages
Result language
angličtina
Original language name
Artic: a new czech text-to-speech system using statistical approach to speech segment database construction
Original language description
The paper presents ARTIC, a brand-new Czech text-to-speech (TTS) system. A statistical approach to speech segment database construction is used: Hidden Markov Models are employed to model triphones on the basis of the large speech corpus and to segment the corpus into triphone-based speech units - basic speech units used by the speech synthesizer. A speech segment selection algorithm is described to choose the representative instance of each speech unit from the segmented speech corpus. A text processing module converts the written text at the input of TTS system to the sequence of phones - basic phonetic units needed to describe the pronunciation of the input text - and prosodic marks. Finally, speech processing is performed using two versions of a PSOLA algorithm.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
—
Result continuities
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)
Others
Publication year
2000
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Artic: a new czech text-to-speech system using statistical approach to speech segment database construction
ISBN
7801501144
ISSN
—
e-ISSN
—
Number of pages
4
Pages from-to
—
Publisher name
China Military Friendship Publish
Place of publication
Beijing
Event location
—
Event date
—
Type of event by nationality
—
UT code for WoS article
—