The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON INFORMATION SCIENCE AND APPLICATIONS
Transactions ID Number: 89-374
Full Name: Mario Malcangi
Position: Professor
Age: ON
Sex: Male
Address: via Comelico 39/41, 20135 Milano
Country: ITALY
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E-mail address: malcangi@dico.unimi.it
Other E-mails: grew@dico.unimi.it,philip.grew@rcm.inet.it
Title of the Paper: Toward Language-independent Text-to-speech Synthesis
Authors as they appear in the Paper: Mario Malcangi, Philip Grew
Email addresses of all the authors: malcangi@dico.unimi.it,grew@dico.unimi.it,philip.grew@rcm.inet.it
Number of paper pages: 11
Abstract: Text-to-speech (TTS) synthesis is becoming a fundamental part of any embedded system that has to interact with humans. Language-independence in speech synthesis is a primary requirement for systems that are not practical to update, as is the case for most embedded systems. Because current text-to-speech synthesis usually refers to a single language and to a single speaker (or at most a limited set of voices), a framework for language-independent, text-to-speech synthesis is proposed to overcome these limitations in implementing speech synthesis on embedded systems. The proposed text-to-speech synthesis framework was designed to embed phonetic and prosodic information in a set of rules. To complete this language-independent speech-synthesis solution, a universal set of phones has been defined so that the appropriate speech sounds for every language are available at run time. Synthesis of more than one language can easily be carried out by switching from one rul!
e set to another while keeping a common phone-data set. Using a vocal-track-based speech synthesizer, the system does not depend on phone sets recorded from an actual specific human voice, so voice types can be chosen at run time.
Keywords: Text-to-speech, Multi-language, Speech synthesis, Rule-based, Phoneme-to-grapheme
EXTENSION of the file: .pdf
Special (Invited) Session: A Framework for Mixed-language Text-to-speech Synthesis
Organizer of the Session: 697-382
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