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Volumn , Issue , 2010, Pages 40-44

Crafting Small Databases for Unit Selection TTS: Effects on Intelligibility

Author keywords

database content; database size; intelligibility; personal synthetic voices; speech synthesis; unit selection

Indexed keywords

SPEECH COMMUNICATION; SPEECH INTELLIGIBILITY; SPEECH SYNTHESIS;

EID: 84907049577     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (5)

References (8)
  • 1
    • 0043271978 scopus 로고    scopus 로고
    • Methods for optimal text selection
    • Van Santen, J. and A. Buchsbaum, Methods for optimal text selection. Proceedings Eurospeech 97, 1997. 2: p. 553-556.
    • (1997) Proceedings Eurospeech , vol.97 , Issue.2 , pp. 553-556
    • Van Santen, J.1    Buchsbaum, A.2
  • 5
    • 84941274997 scopus 로고    scopus 로고
    • The Greedy Algorithm and its Application to the Construction of a Continuous Speech Database
    • Francois, H. and O. Boeffard, The Greedy Algorithm and its Application to the Construction of a Continuous Speech Database. Proceedings of LREC, 2002: p. 1420-1426.
    • (2002) Proceedings of LREC , pp. 1420-1426
    • Francois, H.1    Boeffard, O.2
  • 6
    • 85095965528 scopus 로고    scopus 로고
    • [cited 2010 May 20]; Project Gutenberg home page]
    • Hart, M.S. Project Gutenberg Mission Statement. 2007 [cited 2010 May 20]; Project Gutenberg home page]. Available from: http://www.gutenberg.org.
    • (2007) Project Gutenberg Mission Statement
    • Hart, M.S.1
  • 7
    • 0030166343 scopus 로고    scopus 로고
    • The SUS test: A method for the assessment of text-to-speech synthesis intelligibility using Semantically Unpredictable Sentences
    • Benoît, C., M. Grice, and V. Hazan, The SUS test: A method for the assessment of text-to-speech synthesis intelligibility using Semantically Unpredictable Sentences. Speech Communication, 1996. 18(4): p. 381-392.
    • (1996) Speech Communication , vol.18 , Issue.4 , pp. 381-392
    • Benoît, C.1    Grice, M.2    Hazan, V.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.