Joint estimation of vocal tract filter and glottal source waveform via convex optimization

Author

Lu, Hui-Ling ; Smith, Julius O., III

Author_Institution

Center for Comput. Res. in Music & Acoust., Stanford Univ., CA, USA

fYear

1999

fDate

1999

Firstpage

79

Lastpage

82

Abstract

For singing synthesis applications, it is essential to generate natural voiced sound, since singing is nearly 95% voiced. In this paper, the linearly separable source-filter model is assumed for voiced sound. A convex optimization method is then applied to estimate the vocal tract filter and glottal source waveform jointly. The merits of using convex optimization methods are computational efficiency and global optimality. The final results show that the joint estimation is effective in conjunction with a smoothing constraint

Keywords

filtering theory; optimisation; parameter estimation; speech processing; speech synthesis; waveform analysis; computational efficiency; convex optimization; estimation algorithms; global optimality; glottal source waveform; joint estimation; line search; linearly separable source-filter model; natural voiced sound generation; singing synthesis applications; smoothing constraint; vocal tract filter; Acoustic applications; Acoustic waves; Application software; Multiple signal classification; Music; Optimization methods; Parameter estimation; Resonator filters; Smoothing methods; Speech synthesis;

fLanguage

English

Publisher

ieee

Conference_Titel

Applications of Signal Processing to Audio and Acoustics, 1999 IEEE Workshop on

Conference_Location

New Paltz, NY

Print_ISBN

0-7803-5612-8

Type

conf

DOI

10.1109/ASPAA.1999.810854

Filename

810854