Abstract. The needs of efficient and flexible information retrieval on multistructural data stored in database and network are significantly growing. Especially, its flexibility pl...
Automatically extracting temporal information from musical recordings is inarguably one of the most critical subtasks of many music information retrieval systems. In this paper we...
Detecting artists that can be considered as prototypes for particular genres or styles of music is an interesting task. In this paper, we present an approach that ranks artists ac...
This paper proposes GBM (gravitation-based model), a physical model for information retrieval inspired by Newton’s theory of gravitation. A mapping is built in this model from c...
We present a novel algorithm for structural analysis of audio to detect repetitive patterns that are suitable for content-based audio information retrieval systems, since repetiti...