2 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.SD2020★ 1 cited
The MIDI Degradation Toolkit: Symbolic Music Augmentation and Correction
Andrew McLeod, James Owers, Kazuyoshi Yoshii
In this paper, we introduce the MIDI Degradation Toolkit (MDTK), containing functions which take as input a musical excerpt (a set of notes with pitch, onset time, and duration), a…
cs.LG2019
Multi-Step Chord Sequence Prediction Based on Aggregated Multi-Scale Encoder-Decoder Network
Tristan Carsault, Andrew McLeod, Philippe Esling +3
This paper studies the prediction of chord progressions for jazz music by relying on machine learning models. The motivation of our study comes from the recent success of neural ne…
eess.AS2019★ 2 cited
Evaluating Non-aligned Musical Score Transcriptions with MV2H
Andrew McLeod
The original MV2H metric was designed to evaluate systems which transcribe from an input audio (or MIDI) piece to a complete musical score. However, it requires both the transcribe…