ITRW on Non-Linear Speech Processing (NOLISP 03) May 20-23, 2003 Le Croisic, France

Vowel And Consonant Characterization Using Fractal Dimension in Natural Speech

F. Martinez, Antonio Guillamon, J. J. Martinez

Departamento de Matemática Aplicada y Estadística, Universidad Politécnica de Cartagena, Spain

Speech signals can be considered as being generated by mechanical system with inherently nonlinear dynamics. The purpose of this paper is to describe its complexity using the fractal dimension of a variety of spanish voiced sounds (vowels, nasals) and unvoiced sounds (fricatives) In our research, the fractal dimension was computed over recorder signals from a speech spanish database (AHUMADA), using the method suggested by Katz, [1]. In conclusion the fractals measures expand the distinguishing features in characterizing voiced and unvoiced sounds, that leads to better speech recognition performances.

Full Paper

Bibliographic reference.  Martinez, F. / Guillamon, Antonio / Martinez, J. J. (2003): "Vowel and consonant characterization using fractal dimension in natural speech", In NOLISP-2003, paper 015.