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Machine learning / Data analysis / Principal component analysis / Singular value decomposition / Neural network / Linear classifier / Gesture / Unsupervised learning / Statistics / Multivariate statistics / Computational neuroscience


Adaptive High-level Classification of Vocal Gestures Within a Networked Sound Instrument Jason Freeman*, C. Ramakrishnan†, Kristjan Varnik†, Max Neuhaus, Phil Burk, and David Birchfield‡ * Department of Music, Col
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Document Date: 2007-10-17 08:15:14

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File Size: 552,19 KB

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City

Ann Arbor / San Mateo / Berlin / Los Angeles / New York / /

Company

Neural Information Processing Systems / John Wiley and Sons Inc. / International Computer Music / Principal Component Neural Networks / /

Country

Germany / /

Facility

Columbia University / /

IndustryTerm

real-time collaboration / client software / elegant solution / real-time multi-user environment / Internet-based instrument / real-time Internet-based collaboration / /

Organization

Columbia University / Department of Music / Arizona State University / US Federal Reserve / International Computer Music Association / Acoustical Society of America / /

Person

Hebbian / Max Rms Max / Max Neuhaus / Sanger / Max Rms Std / Morgan Kaufman / Phil Burk / Min Rms Derivative / David Birchfield / /

Position

feed-forward / T. D. / /

ProgrammingLanguage

JSyn / Java / /

PublishedMedium

Journal of Personality and Social Psychology / /

Technology

Speech Recognition / neural network / Java / API / Client/Server / Interactive Voice Response / /

URL

http /

SocialTag