43 citations · 104 across the 10 of their papers we have counts for
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cs.SD2017★ 43 cited
Onsets and Frames: Dual-Objective Piano Transcription
Curtis Hawthorne, Erich Elsen, Jialin Song +6
We advance the state of the art in polyphonic piano music transcription by using a deep convolutional and recurrent neural network which is trained to jointly predict onsets and fr…
cs.SD2017★ 5 cited
Learning and Evaluating Musical Features with Deep Autoencoders
Mason Bretan, Sageev Oore, Doug Eck +1
In this work we describe and evaluate methods to learn musical embeddings. Each embedding is a vector that represents four contiguous beats of music and is derived from a symbolic…