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A Probabilistic Acoustic-Phonetic Approach to Automatic Speech Recognition

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Overview

The state of the art voice recognition systems use very little knowledge of acoustic-phonetics and are largely dependent on statistical modeling.

This invention, brings together knowledge of acoustic-phonetics and statistical pattern recognition to build a system, called Event-Based System (EBS) for automatic speech recognition. The system is based on representation of speech sounds by bundles of binary valued phonetic features.

This system not only obtains better accuracy in identification but also, unlike other systems, does not require initial training to 'learn" to recognize.

For additional information, please contact the University of Maryland Office of Technology Commercialization, [email protected] or 301-405-3947.

Contact Info

UM Ventures
0134 Lee Building
7809 Regents Drive
College Park, MD 20742
Email: [email protected]
Phone: (301) 405-3947 | Fax: (301) 314-9502