Knowledge-based onset detection in musical application
- Norberto Degara-Quintela
- Antonio Pena
- nuel Sobreira-Seoane
- Soledad Torres-Guijarro
Verlag: Sociedad Española de Acústica
Datum der Publikation: 2008
Kongress: Congreso Español de Acústica (39. 2008. Coimbra)
Art: Konferenz-Beitrag
Zusammenfassung
Onset detection is useful in a number of applications for audio signals. The goal of this paper is to present a combination of techniques using a blackboard system, an approach taken from expert systems. The proposed system defines a global sound source separation system that allows for the integration of multiple audio analysis methods. In this particular case, experts integrate onset detection algorithms that use their own analysis strategy. A voting scheme of combination of algorithms is presented.