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Extraction Music Machine Learning Recognition Separation Retrieval Speech Environment Signal Processing

By Dan Ellis, Music Information, Extraction Ellis and Learning Music

Abstract

• A lot of music data available e.g. 60G of MP3 ≈ 1000 hr of audio, 15k tracks • What can we do with it? implicit definition of ‘music’ • Quality vs. quantity Speech recognition lesson: 10x data, 1/10th annotation, twice as useful • Motivating Applications music similarity (recommendation, playlists) computer (assisted) music generation insight into music Music Information Extraction- Ellis 2006-05-22 p. 3 /35Ground Truth Data File: /Users/dpwe/projects/aclass/aimee.wav • A lot of unlabeled music data available manual annotation is expensive and rare mus • Unsupervised structure discovery possible.. but labels help to indicate what you want • Weak annotation sources artist-level descriptions symbol sequences without timing (MIDI) errorful transcripts • Evaluation requires ground truth limiting factor in Music IR evaluations

Year: 2011
OAI identifier: oai:CiteSeerX.psu:10.1.1.192.6099
Provided by: CiteSeerX
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