Title :
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
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;
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
DOI :
10.1109/ASPAA.1999.810854
