CISUC

Sistemas de Classificação Musical com Redes Neuronais

Authors

Abstract

As a result of recent technological innovations, there has been a tremendous growth in the Electronic Music Distribution industry. In this way, tasks such us automatic music genre classification address new and exciting research challenges. Automatic music genre recognition involves issues like feature extraction and development of classifiers using the obtained features. In this study we aim to classify classical music in subgenres, through three independent classification problems. Therefore, we extract 40 features for each one of the musical segments and we use neural nets as classifiers. Afterwards, due to the quality of the obtained results, a prototype system for automatic music classification of entire songs (not only segments) was built. We use 10 extracts for each song, uniformly distributed throughout the song. Each song is classified according to the most representative genre in all extracts.

Keywords

Classificação de música, Redes neuronais, extracção de características, análise de sinais musicais

Subject

Music Classification

Journal

Gestão e Desenvolvimento, Vol. 12, pp. 167-195, Universidade Católica Portuguesa, June 2004

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Cited by

Year 2010 : 1 citations

 Barreira, L., Unsupervised automatic music genre classification. Dissertação de Mestrado, Universidade Nova de Lisboa, 2010.

Year 2007 : 1 citations

 Moraes R. B. (2007). “ANÁLISE E SÍNTESE DE INSTRUMENTOS MUSICAIS DE SOPRO DE MADEIRA”. MSc Thesis, Universidade Federal do Rio de Janeiro, Brazil.

Year 2005 : 1 citations

 Oliveira P. (2005). “Caracterização da Ocupação do Solo com Recurso à Aplicação de Modelos de Misturas Espectrais em Séries Multi-Temporais de Imagens Modis”. MSc Thesis, ISEGI, New University of Lisbon, Junho 2005.