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https://hdl.handle.net/10316/95168| Title: | Music Emotion Classification: Analysis of a Classifier Ensemble Approach | Authors: | Panda, Renato Paiva, Rui Pedro |
Issue Date: | 2012 | Project: | info:eu-repo/grantAgreement/FCT/5876-PPCDTI/102185/PT/MOODetector - A System for Mood-based Classification and Retrieval of Audio Music | metadata.degois.publication.title: | 5th International Workshop on Music and Machine Learning – MML 2012 – in conjunction with the 19th International Conference on Machine Learning – ICML 2012 | metadata.degois.publication.location: | Edinburgh, UK | Abstract: | We propose a five regression models’ system to classify music emotion. To this end, a dataset similar to MIREX contest dataset was used. Songs from each cluster are separated in five sets and labeled as 1. A similar number of songs from other clusters are then added to each set and labeled 0, training regression models to output a value representing how much a song is related to the specific cluster. The five outputs are combined and the highest score used as classification. An F-measure of 68.9% was obtained. Results were validated with 10-fold cross-validation and feature selection was tested. | URI: | https://hdl.handle.net/10316/95168 | Rights: | openAccess |
| Appears in Collections: | I&D CISUC - Artigos em Livros de Actas |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Panda, Paiva - 2012 - Music Emotion Classification Analysis of a Classifier Ensemble Approach.pdf | 191.77 kB | Adobe PDF | View/Open |
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