How can generative adversarial networks impact computer generated art? Insights from poetry to melody conversion - ScienceDirect
ENABLING FACTORIZED PIANO MUSIC MODELING AND GENERATION WITH THE MAESTRO DATASET
Music Transcription using a Convolutional Neural Network | by Dhruv Verma | Medium
The MAESTRO Dataset and Wave2Midi2Wave
ASAP: A DATASET OF ALIGNED SCORES AND PERFORMANCES FOR PIANO TRANSCRIPTION
GitHub - DRyanMiller/MIDI_Visualization: Function for visualizing MIDI files from the MAESTRO dataset
Google Magenta-Making Music with MIDI and Machine Learning -
Enabling Factorized Piano Music Modeling and Generation with the MAESTRO Dataset
Visualizing Musical Performance. As a musician and a data scientist, I… | by D. Ryan Miller | Towards Data Science
A Comprehensive Survey on Deep Music Generation: Multi-level Representations, Algorithms, Evaluations, and Future Directions
Performance RNN: Generating Music with Expressive Timing and Dynamics
The MAESTRO Dataset
Yamaha launches "revolutionary" new CP pianos | MusicRadar
ASAP: A DATASET OF ALIGNED SCORES AND PERFORMANCES FOR PIANO TRANSCRIPTION
Google Magenta-Making Music with MIDI and Machine Learning -
GENERATING EXPRESSIVE TIMING AND DYNAMICS PIANO MUSIC VIA A STREAM OF MIDI EVENTS
Deep Learning for Expressive Piano Performances | Popgun Labs
MAESTRO Dataset | Papers With Code
Writing a music album with Deep Learning | by Nicolás Schmidt | Towards Data Science
Guide to sound engines
Real-time error correction and performance aid for MIDI instruments arXiv:2011.13122v1 [cs.SD] 26 Nov 2020
ASAP: A DATASET OF ALIGNED SCORES AND PERFORMANCES FOR PIANO TRANSCRIPTION
Untitled
Transition-Aware: A More Robust Approach for Piano Transcription
The MAESTRO Dataset
