Dear Spiral user, We’re pleased to introduce Helix, https://helix.imperial.ac.uk/ Imperial’s new repository for research datasets. Please use Helix for all future dataset deposits. There is no change to Spiral - continue depositing as usual. For queries, contact the Research Data Management team at rdm-enquiries@imperial.ac.uk. Kind regards, the Spiral Team. The Spiral team
Applying supervised classifiers on non-negative matrix factorization to musical instrument classification
File(s)
Author(s)
Benetos, Emmanouil
Kotti, Margarita
Kotropoulos, Constantine
Type
Conference Paper
Abstract
In this paper, a new approach for automatic audio classification using non-negative matrix factorization (NMF) is presented. Training is performed onto each audio class individually, whilst during the test phase each test recording is projected onto the several training matrices. Experiments demonstrating the efficiency of the proposed approach were performed for musical instrument classification. Several perceptual features as well as MPEG-7 descriptors were measured for 300 sound recordings consisting of 6 different musical instrument classes. Subsets of the feature set were selected using branch-and-bound search, in order to obtain the most discriminating features for classification. Several NMF techniques were utilized, namely the standard NMF method, the local NMF, and the sparse NMF. The experiments demonstrate an almost perfect classification (classification error 1.0%), outperforming the state-of-the-art techniques tested for the aforementioned experiment. © 2006 IEEE.
Date Issued
2006-07
Citation
IEEE International Conference on Multimedia and Expo, 2006, pp.2105-2108
URI
DOI
ISBN
1424403677
Publisher
IEEE
Start Page
2105
End Page
2108
Journal / Book Title
IEEE International Conference on Multimedia and Expo
Copyright Statement
© 2006 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
License URL
Description
14.08.13 KB. Ok to add accepted version to Spiral. IEEE
Source
ICME 2006
Source Place
Ontario, Canada
Start Date
2006-07-09
Finish Date
2006-07-12
Coverage Spatial
Toronto, Canada