AUTOMATIC SEGMENTATION OF THE TEMPORAL EVOLUTION OF ISOLATED ACOUSTIC MUSICAL INSTRUMENT SOUNDS USING SPECTRO-TEMPORAL CUES

Marcelo Freitas Caetano (1) , Juan Jose Burred (1) , Xavier Rodet (1)

1 IRCAM - Institut de Recherche et Coordination Acoustique/Musique

The automatic segmentation of isolated musical instrument sounds according to the temporal evolution is not a trivial task. It requires a model capable of capturing regions such as the attack, decay, sustain and release accurately for many types of instruments with different modes of excitation. The traditional ADSR amplitude envelope model does not apply universally to acoustic musical instrument sounds with different excitation methods because it uses strictly amplitude information and supposes all sounds manifest the same temporal evolution. We present an automatic segmentation technique based on a more realistic model of the temporal evolution of many types of acoustic musical instruments that incorporates both temporal and spectrotemporal cues. The method allows a robust and more perceptually relevant automatic segmentation of the isolated sounds of many musical instruments that fit the model.

Domaines: Traitement du signal et de l'image [eess.SP]; Traitement du signal et de l'image [eess.SP]

Marcelo Freitas Caetano, Juan Jose Burred, Xavier Rodet. AUTOMATIC SEGMENTATION OF THE TEMPORAL EVOLUTION OF ISOLATED ACOUSTIC MUSICAL INSTRUMENT SOUNDS USING SPECTRO-TEMPORAL CUES. International Conference on Digital Audio Effects (DAFx-10), Sep 2010, Austria. pp.11-21. ⟨hal-00604389⟩