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Musical instrument identification using principal componant analysis and multi-layered perceptions
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| dc.contributor.author | Loughran, Róisín | |
| dc.contributor.author | Walker, Jacqueline | |
| dc.contributor.author | O'Neill, Michael | |
| dc.contributor.author | O'Farrell, Marion | |
| dc.date.accessioned | 2009-03-13T14:04:50Z | |
| dc.date.available | 2009-03-13T14:04:50Z | |
| dc.date.issued | 2008 | |
| dc.identifier.uri | http://hdl.handle.net/10344/142 | |
| dc.description | peer-reviewed | |
| dc.description.abstract | This study aims to create an automatic musical instrument classifier by extracting audio features from real sample sounds. These features are reduced using Principal Component Analysis and the resultant data is used to train a Multi-Layered Perceptron. We found that the RMS temporal envelope and the evolution of the centroid gave the most interesting results of the features studied. These results were found to be competitive whether the scope of the data was across one octave or across the range of each instrument | |
| dc.language.iso | eng | en |
| dc.publisher | IEEE Computer Society | en |
| dc.relation.ispartofseries | 2008 International Conference on Audio, Language and Image Processing pp. 643-648 | |
| dc.relation.uri | http://dx.doi.org/10.1109/ICALIP.2008.4590236 | |
| dc.rights | © 2008 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.” | |
| dc.subject | musical instrument | en |
| dc.title | Musical instrument identification using principal componant analysis and multi-layered perceptions | en |
| dc.type | Conference item | en |
| dc.type.supercollection | all_ul_research | en |
| dc.type.restriction | none | en |
| dc.type.restriction | none | en |
| dc.identifier.doi | 10.1109/ICALIP.2008.4590236 | |
| dc.identifier.local | 09ece03 | |
| dc.contributor.sponsor | SFI | |
| dc.internal.rssid | 1130557 |
