Polyphonic musical instrument recognition based on a dynamic model of the spectral envelope

Authors:
Juan Jose Burred;Axel Robel;Thomas Sikora
Affiliations:
Analysis/Synthesis Team, IRCAM - CNRS STMS, 75004 Paris, France;Analysis/Synthesis Team, IRCAM - CNRS STMS, 75004 Paris, France;Communication Systems Group, Technical University of Berlin, 10587, Germany
Venue:
ICASSP '09 Proceedings of the 2009 IEEE International Conference on Acoustics, Speech and Signal Processing
Year:
2009

Citing 0
Cited 2

Dynamic spectral envelope modeling for timbre analysis of musical instrument sounds

IEEE Transactions on Audio, Speech, and Language Processing
Automatic music transcription: challenges and future directions

Journal of Intelligent Information Systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

We propose a new method for detecting the musical instruments that are present in single-channel mixtures. Such a task is of interest for audio and multimedia content analysis and indexing applications. The approach is based on grouping sinusoidal trajectories according to common onsets, and comparing each group's overall amplitude evolution with a set of pre-trained probabilistic templates describing the temporal evolution of the spectral envelopes of a given set of instruments. Classification is based on either an Euclidean or a probabilistic definition of timbral similarity, both of which are compared with respect to detection accuracy.