Eli Schwartz, Leonid Karlinsky, et al.
NeurIPS 2018
A supervised classifier is described where a systematic search through a training database produced an efficacious set of prototypes for its operation. Using this technique, two studies, one dealing with phone recognition and another with large-vocabulary speech recognition, were conducted with data from several speakers. The superiority of the supervised classifier design is demonstrated by comparative performance analysis. © 1994 IEEE
Eli Schwartz, Leonid Karlinsky, et al.
NeurIPS 2018
Conrad Albrecht, Jannik Schneider, et al.
CVPR 2025
Mukund Padmanabhan, Lalit R. Bahl, et al.
IEEE Transactions on Speech and Audio Processing
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CVPR 2023