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Digital signal processing / Sound / Acoustics / Transforms / Audio engineering / Onset / Reassignment method / Spectrogram / Pitch detection algorithm / Waves / Mathematical analysis / Time–frequency analysis


LOCAL GROUP DELAY BASED VIBRATO AND TREMOLO SUPPRESSION FOR ONSET DETECTION Sebastian B¨ock and Gerhard Widmer Department of Computational Perception Johannes Kepler University, Linz, Austria [removed]
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Document Date: 2015-01-15 16:32:23


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Utrecht / Porto / York / Maynooth / Barcelona / Montreal / London / /

Company

the AES / /

Country

Netherlands / Canada / Portugal / United Kingdom / Spain / Ireland / /

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Facility

Computational Perception Johannes Kepler University / University of Bristol / /

IndustryTerm

spurious positive energy fragments / energy peaks / neural network / fewer positive energy components / sound onset detection algorithms / recurrent neural networks / onset detection algorithms / online capabilities / real-time onset detection / onset detection algorithm / frame-wise processing / bidirectional long short-term memory neural networks / spectral energy / magnitude-based onset detection algorithms / recurrent neural network / online mode / spectral flux algorithm / energy / /

Organization

11th International Society for Music Information Retrieval Conference / International Society for Music Information Retrieval / University of Bristol / 13th International Society for Music Information Retrieval Conference / European Union / Computational Perception Johannes Kepler University / LOCAL GROUP DELAY BASED VIBRATO AND TREMOLO SUPPRESSION FOR ONSET DETECTION Sebastian B¨ock and Gerhard Widmer Department / /

Person

Gerhard Widmer / /

Position

human musician / /

ProvinceOrState

Quebec / /

Technology

neural network / underlying SuperFlux algorithm / onset detection algorithms / sound onset detection algorithms / SuperFlux algorithm / spectral flux algorithm / http / magnitude-based onset detection algorithms / onset detection algorithm / /

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