Patent №
US 4,783,802
Granted
1988-11-08
Filed 1985
Owner
KABUSHIKI KAISHA TOSHIBA
Lab
—
AI components
6
ml · nlp · vision · speech · planning · hardware
Assignment
Recorded
Dataset
AIPD
2023_r1 edition
Application
06775398
The learning method of reference pattern vectors for speech recognition in accordance with the present invention, a plurality of speech feature vectors are generated from the time series of speech feature parameter for the input speech pattern, by taking into account knowledge concerning the variation tendencies of the speech patterns, and the learning (preparation) of reference pattern vectors for speech recognition is carried out by the use of these speech feature vectors thus generated. Therefore, it becomes possible to prepare highly reliable reference pattern vectors in an easy manner from a small number of speech patterns, which makes it possible to achieve an improvement in the speech recognition factor. In particular, it becomes possible to plan an easy improvement of the reference pattern vectors by an effective use of a relatively small number of input speech patterns.
AI classification
Ownership
KABUSHIKI KAISHA TOSHIBA
assignment · 44590913
Assignors
TAKEBAYASHI, YOICHI, SHINODA, HIDENORI
On an employer assignment, the assignors are typically the inventors.