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Artificial intelligence / Semi-supervised learning / Supervised learning / Expectation–maximization algorithm / Natural language processing / Algorithm / Statistical classification / Machine learning / Statistics / Computational statistics


EUSIPCO SEMI-SUPERVISED LEARNING FOR MUSICAL INSTRUMENT RECOGNITION Aleksandr Diment, Toni Heittola, Tuomas Virtanen Tampere University of Technology Department of Signal Processing
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Document Date: 2013-10-21 04:06:40

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City

Vienna / New York / Suntec / /

Country

Austria / United States / Singapore / /

Facility

Tuomas Virtanen Tampere University of Technology Department / /

IndustryTerm

possible solution / iterative algorithm / co-training algorithm / automatic music transcription applications / final basic algorithm / basic algorithm / /

MarketIndex

case 80 / /

MusicAlbum

Acoustics / /

Organization

Royal Statistical Society / Tampere University of Technology Department of Signal Processing Korkeakoulunkatu / SEMI / Datalogisk Institut / Association for Computational Linguistics / /

Person

Toni Heittola / SEMI-SUPERVISED LEARNING FOR MUSICAL / /

Position

artist / speaker / /

ProvinceOrState

New York / /

PublishedMedium

Computational Linguistics / Journal of the Royal Statistical Society / /

Technology

EM-based algorithms / implemented algorithm / SSL algorithms / speech recognition / Natural Language Processing / knowledge management / extended algorithm / supervised EM-algorithm / training algorithm / final basic algorithm / EM-based algorithm / co-training algorithm / iterative algorithm / iterative EM-based algorithm / basic EM-based SSL algorithm / machine learning / SSL / EM algorithm / conventional supervised EM-algorithm / non-modified iterative EM-based algorithm / EM-based iterative algorithm / evaluated algorithms / basic algorithm / /

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