Temporal pattern recognition method and apparatus utilizing segment and frame-based models
US6662158B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 27, 2000 |
| Grant date | Dec 9, 2003 |
| Priority date | — |
| Expiry date | Apr 27, 2020 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L15/148
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method and apparatus is provided for identifying patterns from a series of feature vectors representing a time-varying signal. The method and apparatus use both a frame-based model and a segment model in a unified framework. The frame-based model determines the probability of an individual feature vector given a frame state. The segment model determines the probability of sub-sequences of feature vectors given a single segment state. The probabilities from the frame-based model and the segment model are then combined to form a single path score that is indicative of the probability of a sequence of patterns. Another aspect of the invention is the use of a frame-based model and a segment model to segment feature vectors during model training. Under this aspect of the invention, the frame-based model and the segment model are used together to identify probabilities associated with different segmentations.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.