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DRUM TRANSCRIPTION FROM POLYPHONIC MUSIC WITH RECURRENT NEURAL NETWORKS

Abstract: 

Automatic drum transcription methods aim at extracting a symbolic representation of notes played by a drum kit in audio recordings. For automatic music analysis, this task is of particular interest as such a transcript can be used to extract high level information about the piece, e.g., tempo, downbeat positions, meter, and genre cues. In this work, an approach to transcribe drums from polyphonic audio signals based on a re- current neural network is presented. Deep learning techniques like dropout and data augmentation are applied to improve the generalization capabilities of the system. The method is evaluated using established reference datasets consisting of solo drum tracks as well as drums mixed with accompaniment. The results are compared to state-of-the-art approaches on the same datasets. The evaluation reveals that F-measure values higher than state of the art can be achieved using the proposed method.

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Paper Details

Authors:
Richard Vogl, Matthias Dorfer, Peter Knees
Submitted On:
9 March 2017 - 6:57pm
Short Link:
Type:
Presentation Slides
Event:
Presenter's Name:
Richard Vogl
Paper Code:
2635
Document Year:
2017
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Document Files

drum-transcription_icassp_4_3.pdf

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[1] Richard Vogl, Matthias Dorfer, Peter Knees, "DRUM TRANSCRIPTION FROM POLYPHONIC MUSIC WITH RECURRENT NEURAL NETWORKS", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/1732. Accessed: Oct. 19, 2017.
@article{1732-17,
url = {http://sigport.org/1732},
author = {Richard Vogl; Matthias Dorfer; Peter Knees },
publisher = {IEEE SigPort},
title = {DRUM TRANSCRIPTION FROM POLYPHONIC MUSIC WITH RECURRENT NEURAL NETWORKS},
year = {2017} }
TY - EJOUR
T1 - DRUM TRANSCRIPTION FROM POLYPHONIC MUSIC WITH RECURRENT NEURAL NETWORKS
AU - Richard Vogl; Matthias Dorfer; Peter Knees
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/1732
ER -
Richard Vogl, Matthias Dorfer, Peter Knees. (2017). DRUM TRANSCRIPTION FROM POLYPHONIC MUSIC WITH RECURRENT NEURAL NETWORKS. IEEE SigPort. http://sigport.org/1732
Richard Vogl, Matthias Dorfer, Peter Knees, 2017. DRUM TRANSCRIPTION FROM POLYPHONIC MUSIC WITH RECURRENT NEURAL NETWORKS. Available at: http://sigport.org/1732.
Richard Vogl, Matthias Dorfer, Peter Knees. (2017). "DRUM TRANSCRIPTION FROM POLYPHONIC MUSIC WITH RECURRENT NEURAL NETWORKS." Web.
1. Richard Vogl, Matthias Dorfer, Peter Knees. DRUM TRANSCRIPTION FROM POLYPHONIC MUSIC WITH RECURRENT NEURAL NETWORKS [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/1732