Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.21/2960
Título: A similarity measure for music signals
Autor: Marques, Goncalo
Langlois, Thibault
Palavras-chave: Music Information Retrieval
Music Similarity Measure
Audio Signal Processing
Feature Extraction
Data: 2008
Editora: INSTICC-Inst Syst Technologies Information Control & Communication
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.
Resumo: 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.
Peer review: yes
URI: http://hdl.handle.net/10400.21/2960
ISBN: 978-989-8111-37-1
Aparece nas colecções:ISEL - Eng. Elect. Tel. Comp. - Comunicações

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