This paper investigates a given branch of the music information retrieval field, specifically that of audio thumbnail, through which a piece of music can be automatically summarized. We first provide a survey on the different techniques available today for the generation of music summaries, and then we propose a practical method that, based on best practices, is able to summarize songs with a great efficacy.
Titolo: | AREEB: Automatic REfrain Extraction for ThumBnail | |
Autore/i: | A. Mellina; A. Sentinelli; MARFIA, GUSTAVO; ROCCETTI, MARCO | |
Autore/i Unibo: | ||
Anno: | 2012 | |
Titolo del libro: | Proceedings of 9th IEEE Communications and Networking Conference (CCNC 2012) | |
Pagina iniziale: | 472 | |
Pagina finale: | 476 | |
Digital Object Identifier (DOI): | http://dx.doi.org/10.1109/CCNC.2012.6181003 | |
Abstract: | This paper investigates a given branch of the music information retrieval field, specifically that of audio thumbnail, through which a piece of music can be automatically summarized. We first provide a survey on the different techniques available today for the generation of music summaries, and then we propose a practical method that, based on best practices, is able to summarize songs with a great efficacy. | |
Data prodotto definitivo in UGOV: | 12-giu-2013 | |
Appare nelle tipologie: | 4.01 Contributo in Atti di convegno |
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