Data processing: speech signal processing – linguistics – language – Speech signal processing – Recognition
Patent
1995-09-20
1998-04-07
MacDonald, Allen R.
Data processing: speech signal processing, linguistics, language
Speech signal processing
Recognition
704251, 704253, G10L 506
Patent
active
057377227
ABSTRACT:
To determine the degree of correspondence between a first and a second pattern, the first and the second pattern are mapped to n first (V11 to V1n) and m second (V21 to V2m) feature vectors respectively. For points ({1, 1} to {n, m}) in a subarea of a matrix formed by the n first (V11 to V1n) and m second (V21 to V2m) feature vectors, the distance of the respective first (V11 to V1n) and the second (V21 to V2m) feature vectors is computed, and from the mean distance along an optimum path by means of a DP algorithm. Data regarding the gradient of the respective optimum path are determined during the computation for boundary points of the subarea, and the subarea is dynamically reduced for further computations on the basis of these data. The mean distance is used as the degree of correspondence.
REFERENCES:
patent: 4570232 (1986-02-01), Shikano
patent: 4667341 (1987-05-01), Watari
patent: 4792976 (1988-12-01), Watari
patent: 4901352 (1990-02-01), Watari
patent: 5164990 (1992-11-01), Pazienti et al.
patent: 5577162 (1996-11-01), Yamazaki
Kopp Dieter
Rozinaj Gregor
Thierer Gebhard
ALCATEL N.V.
MacDonald Allen R.
Smits Talivaldis Ivars
LandOfFree
Pattern and speech recognition using gradient-based dynamical re does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Pattern and speech recognition using gradient-based dynamical re, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Pattern and speech recognition using gradient-based dynamical re will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-28404