Title: ARTIC: a new czech text-to-speech system using statistical approach to speech segment database construciton
Other Titles: ARTIC: Nový český systém TTS využívající statistický přístup k vytváření databáze řečových segmentů
Authors: Matoušek, Jindřich
Psutka, Josef
Citation: MATOUŠEK, Jindřich; PSUTKA, Josef. ARTIC: a new czech text-to-speech system using statistical approach to speech segment database construciton. In: Eurospeech 2000 - Interspeech: proceedings of the 6th European Conference on Speech Communication and Technology, 16-20 October 2000, Beijing, China. [Baixas]: ISCA, 2000, p. 2047-2050. ISSN 612-615.
Issue Date: 2000
Publisher: ISCA
Document type: článek
URI: http://www.kky.zcu.cz/cs/publications/MatousekJ_2000_ARTICANewCzech
ISSN: 1018-4074
Keywords: syntéza řeči;ARTIC;algoritmus PSOLA;skryté Markovovy modely
Keywords in different language: speech synthesis;ARTIC;PSOLA algorithm;hidden Markov models
Abstract in different language: This paper presents ARTIC, a brand-new Czech text-to-speech (TTS) system. ARTIC (ARtificial Talker In Czech) is a concatenation-based system that consists of three main, relatively independent, components: speech segment database, text analyzer and speech synthesizer. 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 synthesizer. A speech segment selection algorithm is desricbed 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.
Rights: © Jindřich Matoušek - Josef Psutka
Appears in Collections:Články / Articles (KKY)
Články / Articles (KIV)

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