Title: German and czech speech synthesis using HMM-based speech segment database
Other Titles: Syntéza německé a české řeči s využitím databáze řečových jednotek založených na HMM
Authors: Matoušek, Jindřich
Tihelka, Daniel
Psutka, Josef
Hesová, Jana
Citation: MATOUŠEK, Jindřch; TIHELKA, Daniel; PSUTKA, Josef; HESOVÁ, Jana. German and czech speech synthesis using HMM-based speech segment database. In: Text, speech and dialogue. Berlin: Springer, 2002, p. 173-180. (Lecture notes in computer science; 2448). ISBN 3-540-44129-8.
Issue Date: 2002
Publisher: Springer
Document type: článek
URI: http://www.kky.zcu.cz/cs/publications/MatousekJ_2002_GermanandCzech
ISBN: 3-540-44129-8
Keywords: syntéza řeči;skryté Markovovy modely;HMM
Keywords in different language: speech synthesis;hidden Markov models;HMM
Abstract in different language: 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.
Rights: © Jindřichich Matoušek - Daniel Tihelka - Josef Psutka - Jana Hesová
Appears in Collections:Články / Articles (KKY)
Články / Articles (NTIS)
Články / Articles (KIV)

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Please use this identifier to cite or link to this item: http://hdl.handle.net/11025/17032

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