View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) Universidade de São Paulo Biblioteca Digital da Produção Intelectual - BDPI Departamento de Ciências de Computação - ICMC/SCC Comunicações em Eventos - ICMC/SCC 2015-07 Automatic classification of drum sounds with indefinite pitch International Joint Conference on Neural Network, 2015, Killarney. http://www.producao.usp.br/handle/BDPI/49424 Downloaded from: Biblioteca Digital da Produção Intelectual - BDPI, Universidade de São Paulo Automatic Classification of Drum Sounds with Indefinite Pitch Vinfcius M. A. Souza Nilson E. Souza-Filho Gustavo E. A. P. A. Batista Department of Acoustic Engineering Institute of Mathematics and Computer Science Federal University of Santa Maria, Brazil University of Sao Paulo, Brazil
[email protected] {vsouza, gbatista}@icmc.usp.br Abstract-Automatic classification of musical instruments is Many research papers in Machine Learning and Signal an important task for music transcription as well as for pro Processing literature focus in the classification of string or fessionals such as audio designers, engineers and musicians. wind harmonic instruments and only a limited effort has been Unfortunately, only a limited amount of effort has been conducted conducted to classify percussion instruments (an interesting to automatically classify percussion instrument in the last years. review can be found in [1]). The main difference between The studies that deal with percussion sounds are usually restricted percussion and another instruments is the fact that the per to distinguish among the instruments in the drum kit such as cussion produces indefinite pitch or unpitched sounds.