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 article
URI:	http://www.kky.zcu.cz/cs/publications/MatousekJ_2002_GermanandCzech http://hdl.handle.net/11025/17032
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)

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.