MAESTRO dataset (MAESTRO)
-Thammasat University Musical AI PROJECT-
DISCRIPTION
Musical AI
This research was created as part of the project "Innovative All-around Learning toward Smart Campus Creation" by Dr. Somrudee Deepaisarn and team under the larger-scheme of AI Ready City Networking in RUN Project conceptualized by Prof. Dr. Virach Sornlertlamvanich.
We aim to use machine learning to classify different music composers based on their compositions. We gathered a dataset of musical pieces from different composers, extracted features from each piece, and trained machine learning models to predict the composer of a given musical piece.
The public dataset used for performing this experiment is the MIDI and Audio Edited for Synchronous TRacks and Organization (MAESTRO) dataset. The dataset is available at: https://magenta.tensorflow.org/datasets/maestro
Over 60 composers are presented in this dataset. The first 10 composers with the greatest number of music pieces are shown in the figure below.
Sum_Point ผลรวมของจุดแสดงการกระจุกตัวของประชากร
