Drum Transcription
3 papers with code • 0 benchmarks • 1 datasets
Benchmarks
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E-GMD
Latest papers
Ultra-light deep MIR by trimming lottery tickets
We show that our proposal can remove up to 90% of the model parameters without loss of accuracy, leading to ultra-light deep MIR models.
Improving Perceptual Quality of Drum Transcription with the Expanded Groove MIDI Dataset
We introduce the Expanded Groove MIDI dataset (E-GMD), an automatic drum transcription (ADT) dataset that contains 444 hours of audio from 43 drum kits, making it an order of magnitude larger than similar datasets, and the first with human-performed velocity annotations.
Towards multi-instrument drum transcription
In this work, convolutional and convolutional recurrent neural networks are trained to transcribe a wider range of drum instruments.
