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684 IEEE TRANSACTIONS ON NEURAL NETWORKS, VOL. 10, NO. 3, MAY 1999 Separation of Speech from Interfering Sounds Based on Oscillatory Correlation
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Document Date: 1999-05-07 17:13:54


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Columbus / /

Company

computational ASA / NEURAL NETWORKS / Sheffield S8 0ET / /

Country

United States / /

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USD / /

Event

M&A / /

Facility

University of Sheffield / The Ohio State University / /

IndustryTerm

symbolic search algorithms / time-frequency network / inhibitory oscillator network / acoustic energy / telephone stream / telephone ring / conventional speech recognition systems / low energy / inhibitory networks / telephone example / distributed processing / separate processing stage / bank / real-time engineering applications / sound energy / oscillator network / telephone mixture / speech recognition technology / energy threshold / trill telephone / telephone source / winner-take-all network / front-end processor / relaxation oscillator networks / dynamical systems / energy / peripheral auditory processing / /

Organization

University of Sheffield / National Science Foundation / Department of Computer and Information Science / Department of Computer Science / Center for Cognitive Science / The Ohio State University / /

Position

visiting scientist / ONR Young Investigator / /

ProvinceOrState

Ohio / /

RadioStation

WANG / /

Technology

speech recognition / symbolic search algorithms / neural network / speech recognition technology / front-end processor / amplitude modulation / frequency modulation / simulation / LEGION algorithm / grouping algorithms / /

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