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.
A. Mellina, A. Sentinelli, G. Marfia, M. Roccetti (2012). AREEB: Automatic REfrain Extraction for ThumBnail. PISCATAWAY, NJ : IEEE Communications Society [10.1109/CCNC.2012.6181003].
AREEB: Automatic REfrain Extraction for ThumBnail
MARFIA, GUSTAVO;ROCCETTI, MARCO
2012
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.File in questo prodotto:
Eventuali allegati, non sono esposti
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
