Vocal tract area based formant tracking using particle filter

Author

Kalgaonkar, Kaustubh ; Clements, Mark

Author_Institution

Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA

fYear

2008

fDate

March 31 2008-April 4 2008

Firstpage

3405

Lastpage

3408

Abstract

This paper presents a novel method for estimating formant frequencies and bandwidths based on an underlying vocal tract model. A novel statistical model for vocal tract cross-sectional areas is developed which allows computation of full likelihood functions. Modifications to the basic particle filter algorithm have also been developed to help combat both diversity depletion and convergence problems. The performance of the method is evaluated against hand labeled formant database (L. Deng et al., 2003).

Keywords

particle filtering (numerical methods); speech processing; statistical analysis; convergence problems; diversity depletion; formant tracking; particle filter; statistical model; vocal tract area; vocal tract cross-sectional areas; Bandwidth; Filtering; Frequency estimation; Linear predictive coding; Particle filters; Particle tracking; Random variables; Resonance; Speech analysis; State-space methods; Bayesian Estimation; Formant Tracking; Particle Filtering;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on

Conference_Location

Las Vegas, NV

ISSN

1520-6149

Print_ISBN

978-1-4244-1483-3

Electronic_ISBN

1520-6149

Type

conf

DOI

10.1109/ICASSP.2008.4518382

Filename

4518382