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  • Joan Serrà Julià, Xavier Serra, Casals, Vincent Akkermans, Eduard Aylon, Dmitry Bogdanov +21 others
  • 2011
Acknowledgements I remember I was quite shocked when, one of the very first times I went to the MTG, Perfecto Herrera suggested that I work on the automatic identification of versions of musical pieces. I had played versions (both amateur and professionally) since I was 13 but, although being familiar with many MIR tasks, I had never thought of version(More)
In this paper we give an overview of the Foafing the Music system. The system uses the Friend of a Friend (FOAF) and RDF Site Summary (RSS) vocabularies for recommending music to a user, depending on the user's musical tastes and listening habits. Music information (new album releases, podcast sessions, audio from MP3 blogs, related artists' news and(More)
As the world of online music grows, music recommendation systems become an increasingly important way for music listeners to discover new music. Commercial recommenders such as Last.fm and Pandora have enjoyed commercial and critical success. But how well do these systems really work? How good are the recommendations? How far into the Long Tail do these(More)
This paper presents an approach to the modeling of the singing voice with a particular emphasis on the naturalness of the resulting synthetic voice. The underlying analysis/synthesis technique is based on the Spectral Modeling Synthesis (SMS) and a newly developed Excitation plus Resonance (EpR) model. With this approach a complete singing voice synthesizer(More)
The SIMAC project addresses the study and development of innovative components for a music information retrieval system. The key feature is the usage and exploitation of semantic descriptors of musical content that are automatically extracted from music audio files. These descriptors are generated in two ways: as derivations and combinations of lower-level(More)
In this paper we give an overview of the Foafing the Music system. The system uses the Friend of a Friend (FOAF) and Rich Site Summary (RSS) vocabularies for recommending music to a user, depending on her musical tastes. Music information (new album releases, related artists' news and available audio) is gathered from thousands of RSS feeds —an XML format(More)