On the use of physical modeling and machine learning methods in sound and voice synthesis

Supervisor
Drioli Carlo
Date and time
Tuesday, June 19, 2007 at 4:15 PM - Aula L (Ciclo COVAR)
Programme Director
Marco Squassina
External reference
Publication date
June 11, 2007
Department
 

Summary

Effective modeling of sounds and voice is of great importance to provide a
realistic and expressive acoustic layer in interactive environments,
multimodal interfaces and communication systems.
The talk presents some recent advances concerning the use of physical
modeling and machine learning methods in sound and voice synthesis. We
also discuss an approach to the modeling of acoustic systems that combines
prior information, exploited through physical modeling, and nonlinear
dynamics reconstruction, exploited through kernel regression modeling. We
demonstrate this approach on some particular case studies, including
everyday sounds and voice phonation.






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