Data processing: speech signal processing – linguistics – language – Speech signal processing – Recognition
Patent
1997-04-18
2000-01-11
Knepper, David D.
Data processing: speech signal processing, linguistics, language
Speech signal processing
Recognition
704244, G10L 506
Patent
active
060146249
ABSTRACT:
Converting speech recognition templates or models from a first format to a second format improves the recognition rate achieved using the converted templates or models. Storing source and/or scoring information for templates or models so that converted models or templates can be scored differently than original models or templates reflects the effect the conversion process has on recognition scores. In order to enhance recognition results in one embodiment, an available compressed voice recording is used in the conversion process. The conversion process of the present invention is described using the conversion of dynamic time warping templates into Hidden Markov Models. Generating garbage models are also described. In one embodiment, a garbage model is generated dynamically at recognition time using a period of silence in the utterance upon which the recognition operation is to be performed as the source of the data required to generate the garbage model.
REFERENCES:
patent: 5732393 (1998-03-01), Aoshima
patent: 5778342 (1998-07-01), Erell et al.
patent: 5835890 (1998-11-01), Matsui et al.
patent: 5842165 (1998-11-01), Raman et al.
patent: 5845246 (1998-12-01), Schalk
patent: 5854999 (1998-12-01), Hirayama
Knepper David D.
Nynex Science and Technology Inc.
Straub Michael P.
LandOfFree
Method and apparatus for transitioning from one voice recognitio does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Method and apparatus for transitioning from one voice recognitio, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Method and apparatus for transitioning from one voice recognitio will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-1469530