INTERSPEECH 2004 - ICSLP
8th International Conference on Spoken Language Processing

Jeju Island, Korea
October 4-8, 2004

Speech Probability Distribution based on Generalized Gama Distribution

Jong Won Shin, Joon-Hyuk Chang, Nam Soo Kim

Seoul National University, Korea

In this paper, we propose a new speech probability distribution, twosided generalized gamma distribution (G_D) for an efficient parametric characterization of speech spectra. G_D forms a generalized class of parametric distributions including the Gaussian, Laplacian and Gamma probability density functions (pdf's) as special cases. All the parameters associated with the G_D are estimated by the on-line tracking procedure according to the maximum likelihood principle. Likelihoods, coefficients of variation (CV's), and Kolmogorov-Smirnov (KS) tests show that G_D can model the distribution of the real speech signal more accurately than the conventional Gaussian, Laplacian, Gamma pdf or generalized Gaussian distribution (GGD).

Full Paper

Bibliographic reference.  Shin, Jong Won / Chang, Joon-Hyuk / Kim, Nam Soo (2004): "Speech probability distribution based on generalized gama distribution", In INTERSPEECH-2004, 2477-2480.