Name
Abstract | ||
|---|---|---|
In this paper, we propose a new speech probability distri- bution, two-sided generalized gamma distribution (GΓD) for an efficient parametric characterization of speech spectra. GΓDforms a generalized class of parametric dis- tributions including the Gaussian, Laplacian and Gamma probability density functions (pdf's) as special cases. All the parameters associated with the GΓD are estimated by the on-line tracking procedure according to the maximum likelihood principle. Likelihoods, coefficients of varia- tion (CV's), and Kolmogorov-Smirnov (KS) tests show that GΓD can model the distribution of the real speech signal more accurately than the conventional Gaussian, Laplacian, Gamma pdf or generalized Gaussian distribu- tion (GGD). |
Year | Venue | Keywords |
|---|---|---|
2004 | INTERSPEECH | kolmogorov smirnov,probability distribution,probability density function,gamma distribution |
Field | DocType | Citations |
Joint probability distribution,Computer science,Compound probability distribution,Generalized integer gamma distribution,Generalized beta distribution,Distribution fitting,Generalized inverse Gaussian distribution,Inverse-chi-squared distribution,Statistics,Generalized gamma distribution | Conference | 0 |
PageRank | References | Authors |
0.34 | 4 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jong Won Shin | 1 | 215 | 21.85 |
| Joon-Hyuk Chang | 2 | 14 | 2.10 |
| Nam Soo Kim | 3 | 275 | 29.16 |