Jan Schlüter, Sebastian Böck,
"Musical Onset Detection with Convolutional Neural Networks"
: 6th International Workshop on Machine Learning and Music (MML), in conjunction with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML), 9-2013
Original Titel:
Musical Onset Detection with Convolutional Neural Networks
Sprache des Titels:
Englisch
Original Buchtitel:
6th International Workshop on Machine Learning and Music (MML), in conjunction with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML)
Original Kurzfassung:
Detecting musical onsets is the first step for many aspects of
music analysis, but still lacks accuracy for polyphonic music signals. We
perform an initial exploration of the effectiveness of using Convolutional
Neural Networks for this task. On a dataset of about 100 minutes of
music with 26k annotated onsets, our first experiments slightly surpass
the best existing method while requiring less manual preprocessing. The
results suggest new directions for improving on the state of the art in
onset detection.