http://www.cnr.it/ontology/cnr/individuo/prodotto/ID93380
Prosodic Data-Driven Modelling of Narrative Style in FESTIVAL TTS (Contributo in atti di convegno)
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- Prosodic Data-Driven Modelling of Narrative Style in FESTIVAL TTS (Contributo in atti di convegno) (literal)
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- 2004-01-01T00:00:00+01:00 (literal)
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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
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- Tesser F., Cosi P., Drioli C., Tisato G. (literal)
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- 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
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- 5th ISCA Speech Synthesis Workshop (literal)
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- CDRom Proceedings of 5th ISCA Speech Synthesis Workshop, 14th-16th June 2004, Carnegie Mellon University, Pittsburgh USA, (CDRom). (literal)
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- Titolo
- Prosodic Data-Driven Modelling of Narrative Style in FESTIVAL TTS (literal)
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- 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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