We introduce a new model for extracting classified structural segments, such as intro, verse, chorus, break and so forth, from recorded music. Our approach is to classify signal ...
Samer A. Abdallah, Katy Noland, Mark B. Sandler, M...
For melodic theme retrieval there is a fundamental tradeoff between retrieval performance and retrieval speed. Melodic representations of large dimension yield the best retrieval ...
Norman H. Adams, Daniela Marquez, Gregory H. Wakef...
Audio descriptor extraction is the activity of finding mathematical models which describe properties of the sound, requiring signal processing skills. The scientific literature pr...
MUCOSA (Music Content Semantic Annotator) is an environment for the annotation and generation of music at different levels of abstraction. It is composed of three tiers: an annota...
We present a freely available benchmark dataset for audio classification and clustering. This dataset consists of 10 seconds samples of 1886 songs obtained from the Garageband si...