Voice model for speech processing based on ordered average ranks of spectral features
US7702503B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | Jul 31, 2008 |
| Grant date | Apr 20, 2010 |
| Priority date | — |
| Expiry date | Jul 31, 2028 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L15/06
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods and arrangements for generating a voice model in speech processing. Upon accepting at least two input vectors with spectral features, vectors of ranks are created via ranking values of the spectral features of each input vector, ordered vectors are created via arranging the values of each input vector according to rank, and a vector of ordered average values is created via determining the average of corresponding values of the ordered vectors. Thence, a vector of ordered average ranks is created via determining the sum or average of the vectors of ranks, a vector of ordered ranks is created via ranking the values of the ordered average ranks and a spectral feature vector is created via employing the rank order represented by the vector of ordered ranks to reorder the vector of ordered average ranks.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.