We propose a novel technique for the automatic classification of vocal and non-vocal regions in an acoustic musical signal. Our technique uses a combination of harmonic content a...
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...
In this paper we present a novel scheme for unstructured audio scene classification that possesses three highly desirable and powerful features: autonomy, scalability, and robust...
Julian Ramos, Sajid M. Siddiqi, Artur Dubrawski, G...
Our goal is to automatically identify which species of bird is present in an audio recording using supervised learning. Devising effective algorithms for bird species classificati...
We present a middleware system that facilitates Internet users’ access to web-based digital music libraries and allows them to manipulate audio meta-information taking into cons...
Aristomenis S. Lampropoulos, Paraskevi S. Lampropo...