Impulsivity estimates of mixtures of the power exponential distrubutions in speech modeling
US6804648B1 · kind B1 · utility
3Cited by
15References
13Claims
0Family size
Assignee
Inventors
Key dates
| Filing date | Mar 25, 1999 |
| Grant date | Oct 12, 2004 |
| Priority date | — |
| Expiry date | Mar 25, 2019 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L15/144
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A parametric family of multivariate density functions formed by mixture models from univariate functions of the type exp(−|x|&bgr;) for modeling acoustic feature vectores are used in automatic recognition of speech. The parameter &bgr; is used to measure the non-Gaussian nature of the data. &bgr; is estimated from the input data using a maximum likelihood criterion. There is a balance between &bgr; and the number of data points that must be satisfied for efficient estimation.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.