elib
DLR-Header
DLR-Logo -> http://www.dlr.de
DLR Portal Home | Imprint | Contact | Deutsch
Fontsize: [-] Text [+]

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, 28. Juni 28 – 2. Juli 2011, Bellevue, USA.

[img] PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
231kB

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.

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 Authors
Osendorfer, Christian Technische Universität München
Schlüter, JanAustrian Research Institute for Arti cial Intelligence (OFAI), Vienna
Schmidhuber, JürgenIDSIA, USI & SUPSI, Switzerland
van der Smagt, Patrick smagt@dlr.de
Date:2011
Journal or Publication Title:Proceedings
Refereed publication: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 Dates:28. Juni 28 – 2. Juli 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 > Robotic Systems
Deposited By: Gabriele Beinhofer
Deposited On:20 Jan 2012 11:32
Last Modified:20 Jan 2012 11:32

Repository Staff Only: item control page

Browse
Search
Help & Contact
Informationen
electronic library is running on EPrints 3.3.12
Copyright © 2008-2012 German Aerospace Center (DLR). All rights reserved.