Hierarchical Classification for Instrument Activity Detection in Orchestral Music Recordings

Author:

Krause Michael1ORCID,Müller Meinard1ORCID

Affiliation:

1. International Audio Laboratories Erlangen, Friedrich-Alexander-Universitat Erlangen-Nurnberg, Erlangen, Germany

Funder

Deutsche Forschungsgemeinschaft

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Acoustics and Ultrasonics,Computer Science (miscellaneous),Computational Mathematics

Reference71 articles.

1. Polyphonic instrument recognition for exploring semantic similarities in music;fuhrmann;Proc 13th Int Conf Digit Audio Effects,0

2. Very deep convolutional networks for large-scale image recognition;simonyan;Proc Int Conf Learn Representations,0

3. Learning musical instruments from mixtures of audio with weak labels;little;Proc Int Soc Music Inf Retrieval Conf,0

4. Deep Residual Learning for Image Recognition

5. Deep Convolutional Neural Networks for Predominant Instrument Recognition in Polyphonic Music

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