On the Potential of Simple Framewise Approaches to Piano Transcription.
Sprache des Titels:
Englisch
Original Buchtitel:
Proceedings of the 17th International Society for Music Information Retrieval Conference (ISMIR)
Original Kurzfassung:
In an attempt at exploring the limitations of simple approaches
to the task of piano transcription (as usually defined
in MIR), we conduct an in-depth analysis of neural
network-based framewise transcription. We systematically
compare different popular input representations for transcription
systems to determine the ones most suitable for
use with neural networks. Exploiting recent advances in
training techniques and new regularizers, and taking into
account hyper-parameter tuning, we show that it is possible,
by simple bottom-up frame-wise processing, to obtain
a piano transcriber that outperforms the current published
state of the art on the publicly available MAPS dataset
? without any complex post-processing steps. Thus, we
propose this simple approach as a new baseline for this
dataset, for future transcription research to build on and
improve.
Forschungs-