ISSN : 1796-203X
Volume : 3 Issue : 6 Date : June 2008
Vocal Tract Area Function Estimation Using Particle Swarm
Mahmoud A. Ismail
Page(s): 32-38
Full Text: PDF (389 KB)
Abstract
The problem of estimating the Vocal Tract Area Functions (VTAF) from speech signals arise in many
applications. However, the existing methods for solving this problem were designed for small
subset of speech sounds. This research presents a novel method for estimating VTAF from speech
signal based on Particle Swarm Optimization (PSO). This method is general and can be applied for
large classes of speech sounds. The proposed method was tested and the results positively
verified the effectiveness of using the particle swarm approach in estimating VTAF.
Index Terms
Particle swarm optimization, Speech modeling, Inverse problem.
