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Unsupervised learning of low-level audio features for music similarity estimation

Osendorfer, Christian and Schlüter, Jan and Schmidhuber, Jürgen and van der Smagt, Patrick (2011) Unsupervised learning of low-level audio features for music similarity estimation. In: Proceedings. ICML 2011, The 28th International Conference on Machine Learning, 2011-06-28 - 2011-07-02, Bellevue, USA.

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Abstract

While there is an enormous amount of music data available, the eld of music analysis almost exclusively uses manually designed features. In this work we learn features from music data in a completely unsupervised way and evaluate them on a musical genre classi - cation task. We achieve results very close to state-of-the-art performance which relies on highly hand-tuned feature extractors.

Item URL in elib:https://elib.dlr.de/74158/
Document Type:Conference or Workshop Item (Speech, Paper)
Title:Unsupervised learning of low-level audio features for music similarity estimation
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Osendorfer, Christian Technische Universität MünchenUNSPECIFIEDUNSPECIFIED
Schlüter, JanAustrian Research Institute for Arti cial Intelligence (OFAI), ViennaUNSPECIFIEDUNSPECIFIED
Schmidhuber, JürgenIDSIA, USI & SUPSI, SwitzerlandUNSPECIFIEDUNSPECIFIED
van der Smagt, Patrick UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Date:2011
Journal or Publication Title:Proceedings
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:machine-learning
Event Title:ICML 2011, The 28th International Conference on Machine Learning
Event Location:Bellevue, USA
Event Type:international Conference
Event Start Date:28 June 2011
Event End Date:2 July 2011
HGF - Research field:Aeronautics, Space and Transport (old)
HGF - Program:Space (old)
HGF - Program Themes:W SY - Technik für Raumfahrtsysteme
DLR - Research area:Space
DLR - Program:W SY - Technik für Raumfahrtsysteme
DLR - Research theme (Project):W - RMC - Kognitive Intelligenz und Autonomie (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Institute of Robotics and Mechatronics (until 2012) > Robotic Systems
Deposited By: Beinhofer, Gabriele
Deposited On:20 Jan 2012 11:32
Last Modified:24 Apr 2024 19:40

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