Estimation of a physical model of the vocal folds via dynamic programming techniques

This work presents a procedure for the estimation of a two-mass vocal fold model starting from a time-varying target ow signal. The model is specied 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 quantication 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.