University of Surrey

Test tubes in the lab Research in the ATI Dance Research

Knowledge Management On The Semantic Web: A Comparison of Neuro-Fuzzy and Multi-Layer Perceptron Methods For Automatic Music Tagging

Kolozali, S, Barthet, M and Sandler, M (2012) Knowledge Management On The Semantic Web: A Comparison of Neuro-Fuzzy and Multi-Layer Perceptron Methods For Automatic Music Tagging In: The 9th International Symposium on Computer Music Modeling and Retrieval (CMMR 2012), 2012-06-19 - 2012-06-22.

Full text not available from this repository.

Abstract

This paper presents the preliminary analyses towards the development of a formal method for generating autonomous, dynamic ontology systems in the context of web-based audio signals applications. In the music domain, social tags have become important components of database management, recommender systems, and song similarity en- gines. In this study, we map the audio similarity features from the Iso- phone database [25] to social tags collected from the Last.fm online mu- sic streaming service, by using neuro-fuzzy (NF) and multi-layer percep- tron (MLP) neural networks. The algorithms were tested on a large-scale dataset (Isophone) including more than 40 000 songs from 10 different musical genres. The classification experiments were conducted for a large number of tags (32) related to genre, instrumentation, mood, geographic location, and time-period. The neuro-fuzzy approach increased the over- all F-measure by 25 percentage points in comparison with the traditional MLP approach. This highlights the interest of neuro-fuzzy systems which have been rarely used in music information retrieval so far, whereas they have been interestingly applied to classification tasks in other domains such as image retrieval and affective computing.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Authors :
NameEmailORCID
Kolozali, Ss.kolozali@surrey.ac.ukUNSPECIFIED
Barthet, MUNSPECIFIEDUNSPECIFIED
Sandler, MUNSPECIFIEDUNSPECIFIED
Date : 22 June 2012
Depositing User : Symplectic Elements
Date Deposited : 17 May 2017 13:30
Last Modified : 17 May 2017 15:11
URI: http://epubs.surrey.ac.uk/id/eprint/839476

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year


Information about this web site

© The University of Surrey, Guildford, Surrey, GU2 7XH, United Kingdom.
+44 (0)1483 300800