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University of Washington researchers have created the first publicly available dataset of labeled classical music, named MusicNet. "MusicNet is a collection of 330 freely-licensed classical music recordings, together with over 1 million annotated labels indicating the precise time of each note every recording, the instrument that plays each note, and the note's position in the metrical structure of the composition," described in its homepage. It aims to explore machine learning techniques in the realm of music, including identifying the notes performed at specific times in a recording, classifying the instruments that perform in a recording, classifying the composer of a recording, identifying precise onset times of the notes in a recording, and predicting the next note in a recording, conditioned on history.
Courtesy of MusicNet.
|Enhancements added to OU Analytics - Geographic Map||1 November 2019|
|Series to Highlight Women in Signal Processing: Sheila S. Hemami||1 November 2019|
|Redesigned OU Monthly Statistics Now Available||1 November 2019|
|OU Analytics - A Valuable Resource for Volunteers||1 November 2019|
|Inactive Chapters||1 November 2019|
|OU Analytics - Latest Enhancement||1 November 2019|
|Call for Nominations: Fellow Evaluation Committee - Extended to November 22||22 November 2019|
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