Linear trajectory models incorporating preprocessing parameters for speech recognition
CA 2260685 C · Owner: Chengalvarayan, Rathinavelu · Inventors: Chengalvarayan, Rathinavelu
Overview
Its claims, description and drawings are in the Canadian Patents Database.
Open the CIPO recordAbstract From the Canadian patent
The proposed model aims at finding an optimal linear transformation on the Melwarped, DFT features according to the minimum classification error (MCE) criterion. This linear, transformation, along with the (NSHMM) parameters are automatically trained , using the, gradient ascent method. An advantageous error rate reduction can be realized on a standard, 39-class TIMTT phone classification task in comparison with the MCE-trained NSHMM, using conventional preprocessing techniques.
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Listed from its CIPO record in Patent Yard's archive of Canadian patents past their term. Its claims, description and drawings are in the CIPO record and on Google Patents, and the Claude kit works from them.
Why it's free to use
- Filed February 4, 1999 and granted October 22, 2002. A Canadian patent filed from October 1, 1989 lasts 20 years from filing, so its term ended February 4, 2019.
- A certificate of supplementary protection adds at most two years for a drug, so even that would have ended by February 4, 2021.
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Everything on this page comes from the CIPO record linked above. Contains information licensed under the Open Government Licence – Canada.