Prosodic Data-Driven Modelling of Narrative Style in FESTIVAL TTS (Contributo in atti di convegno)

Type
Label
  • Prosodic Data-Driven Modelling of Narrative Style in FESTIVAL TTS (Contributo in atti di convegno) (literal)
Anno
  • 2004-01-01T00:00:00+01:00 (literal)
Alternative label
  • Tesser F., Cosi P., Drioli C., Tisato G. (2004)
    Prosodic Data-Driven Modelling of Narrative Style in FESTIVAL TTS
    in 5th ISCA Speech Synthesis Workshop, Pittsburgh, USA, 14-16 June 2004
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Tesser F., Cosi P., Drioli C., Tisato G. (literal)
Pagina inizio
  • 185 (literal)
Pagina fine
  • 190 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#altreInformazioni
  • Tesser F., Cosi P., Drioli C., Tisato G. Prosodic Data-Driven Modelling of Narrative Style in FESTIVAL TTS in CDRom/Print Proceedings of 5th ISCA Speech Synthesis Workshop Carnegie Mellon University Pittsburgh USA 14th-16th June 2004 (CDRom/Print) (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
  • http://www.pd.istc.cnr.it/Papers/PieroCosi/ft-SSW2004.pdf (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#titoloVolume
  • 5th ISCA Speech Synthesis Workshop (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#note
  • CDRom Proceedings of 5th ISCA Speech Synthesis Workshop, 14th-16th June 2004, Carnegie Mellon University, Pittsburgh USA, (CDRom). (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali
  • 230 (literal)
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  • CiteSeerX (literal)
  • ResearchG (literal)
  • Google B (literal)
  • ISCA Web A (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • ISTC CNR, UOS Padova (literal)
Titolo
  • Prosodic Data-Driven Modelling of Narrative Style in FESTIVAL TTS (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#curatoriVolume
  • Alan W Black, Kevin Lenzo (literal)
Abstract
  • A general data-driven procedure for creating new prosodic modules for the Italian FESTIVAL Text-To-Speech (TTS) [1] synthesizer is described. These modules are based on the \"Classification and Regression Trees\" (CART) theory. The prosodic factors taken into consideration are: duration, pitch and loudness. Loudness control has been implemented as an extension to the MBROLA diphone concatenative synthesizer. The prosodic models were trained using two speech corpora with different speaking style, and the effectiveness of the CART-based prosody was assessed with a set of evaluation tests. (literal)
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