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In this paper we present a way to annotate music collections by exploiting audio similarity. Similarity is used to propose labels (tags) to yet unlabeled songs, based on the content–based distance between them. The main goal of our work is to ease the process of annotating huge music collections, by using content-based similarity distances as a way to(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)
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)
We study the topology of several music recommendation networks, which arise from relationships between artist, co-occurrence of songs in play lists or experts' recommendation. The analysis uncovers the emergence of complex network phenomena in these kinds of recommendation networks, built considering artists as nodes and their resemblance as links. We(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)
Categories or classification schemes offer ways of navigating and higher control over the search and retrieval of audio content. The MPEG-7 standard provides description mechanisms and ontology management tools for multimedia documents. We have implemented a classification scheme for sound effects management inspired on the MPEG-7 standard on top of an(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)