Rémi Foucard

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Expressing the similarity between musical streams is a challenging task as it involves the understanding of many factors which are most often blended into one information channel: the audio stream. Consequently, separating the musical audio stream into its main melody and its accompaniment may prove as being useful to root the similarity computation on a(More)
Short-term and long-term descriptors constitute complementary pieces of information in the analysis of audio signals. However, because they are extracted over different time horizons, it is difficult to exploit them concurrently in a fully effective manner. In this paper we propose a novel temporal fusion method that leverages the effectiveness of a given(More)
Automatic tagging of music has mostly been treated as a classification problem. In this framework, the association of a tag to a song is characterized in a " hard " fashion: the tag is either relevant or not. Yet, the relevance of a tag to a song is not always evident. Indeed, during the ground-truth annotation process, several annotators may express(More)
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