Use of periodicity and jitter for automatic speech recognition
US6055499A · kind A · utility
Assignee
Inventors
Key dates
| Filing date | May 1, 1998 |
| Grant date | Apr 25, 2000 |
| Priority date | — |
| Expiry date | May 1, 2018 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L15/02
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A class of features related to voicing parameters that indicate whether the vocal chords are vibrating. Features describing voicing characteristics of speech signals are integrated with an existing 38-dimensional feature vector consisting of first and second order time derivatives of the frame energy and of the cepstral coefficients with their first and second derivatives. Hidden Markov Model (HMM)-based connected digit recognition experiments comparing the traditional and extended feature sets show that voicing features and spectral information are complementary and that improved speech recognition performance is obtained by combining the two sources of information.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.