This work presents a procedure for the estimation of a two-mass vocal fold model starting from a time-varying target flow signal. The model is specified by a large number of physical parameters, computed as functions of four articulatory parameters (three laryngeal muscle activations and subglottal pressure). Flow waveforms synthesized by the model are characterized by means of a set of typical voice source quantification acoustic parameters. Given a sequences of target acoustic parameters, dynamic programming techniques and interpolation based on Radial Basis Function Networks are used to derive sequences of articulatory parameters that lead to resynthesis of the target signal.
Inversion of a physical model of the vocal folds via dynamic programming techniques
DRIOLI, Carlo;
2007-01-01
Abstract
This work presents a procedure for the estimation of a two-mass vocal fold model starting from a time-varying target flow signal. The model is specified by a large number of physical parameters, computed as functions of four articulatory parameters (three laryngeal muscle activations and subglottal pressure). Flow waveforms synthesized by the model are characterized by means of a set of typical voice source quantification acoustic parameters. Given a sequences of target acoustic parameters, dynamic programming techniques and interpolation based on Radial Basis Function Networks are used to derive sequences of articulatory parameters that lead to resynthesis of the target signal.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
