Music Transcription using a Convolutional Neural Network | by Dhruv Verma | Medium
How can generative adversarial networks impact computer generated art? Insights from poetry to melody conversion - ScienceDirect
Writing a music album with Deep Learning | by Nicolás Schmidt | Towards Data Science
GitHub - itec-hust/OMAPS: The OMAPS (Ordinary MIDI Aligned Piano Sounds) dataset was recorded from Yamaha electric piano P115 to evaluate audio-visual fusion piano transcription models.
ASAP: A DATASET OF ALIGNED SCORES AND PERFORMANCES FOR PIANO TRANSCRIPTION
Google Magenta-Making Music with MIDI and Machine Learning -
The Maestro Dataset v2 | Kaggle
Visualizing Musical Performance. As a musician and a data scientist, I… | by D. Ryan Miller | Towards Data Science
The MAESTRO Dataset
Transition-Aware: A More Robust Approach for Piano Transcription
Untitled
ASAP: A DATASET OF ALIGNED SCORES AND PERFORMANCES FOR PIANO TRANSCRIPTION
The MAESTRO Dataset and Wave2Midi2Wave
Guide to sound engines
The MAESTRO Dataset
ASAP: A DATASET OF ALIGNED SCORES AND PERFORMANCES FOR PIANO TRANSCRIPTION
Thesis Final Draft with Revisions
ASAP: A DATASET OF ALIGNED SCORES AND PERFORMANCES FOR PIANO TRANSCRIPTION
Deep Learning for Expressive Piano Performances | Popgun Labs
Performance RNN: Generating Music with Expressive Timing and Dynamics
ENABLING FACTORIZED PIANO MUSIC MODELING AND GENERATION WITH THE MAESTRO DATASET
The Maestro Dataset v2 | Kaggle
MusicallyAI | Devpost
Deep Learning for Expressive Piano Performances | Popgun Labs
Yamaha launches "revolutionary" new CP pianos | MusicRadar
