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Autores
Orientador(es)
Resumo(s)
One of the goals in the field of Music Information Retrieval is to obtain a measure of similarity between two musical recordings. Such a measure is at the core of automatic classification, query, and retrieval systems, which have become a necessity due to the ever increasing availability and size of musical databases. This paper proposes a method for calculating a similarity distance between two music signals. The method extracts a set of features from the audio recordings, models the features, and determines the distance between models. While further work is needed, preliminary results show that the proposed method has the potential to be used as a similarity measure for musical signals.
Descrição
Palavras-chave
Music Information Retrieval Music Similarity Measure Audio Signal Processing Feature Extraction
Contexto Educativo
Citação
MARQUES, Goncalo; LANGLOIS, Thibault - A similarity measure for music signals. ICEIS 2008: Proceedings of the 10th International Conference on Enterprise Information Systems, VOL AIDSS: Artificial Intelligence and Decision Support Systems. ISBN 978-989-8111-37-1. (2008), p. 308-312.
Editora
INSTICC-Inst Syst Technologies Information Control & Communication