Omkar2118/datasets huggingface dataset:
URMP
Full name: University of Rochester Multi-Modal Musical Performance

**URMP** (**University of Rochester Multi-Modal Musical Performance**) is a dataset for facilitating audio-visual analysis of musical performances. The dataset comprises 44 simple multi-instrument musical pieces assembled from coordinated but separately recorded performances of individual tracks. For each piece the dataset provided the musical score in MIDI format, the high-quality individual instrument audio recordings and the videos of the assembled pieces.

Source: [http://www2.ece.rochester.edu/projects/air/projects/URMP.html](http://www2.ece.rochester.edu/projects/air/projects/URMP.html)
Image Source: [http://www2.ece.rochester.edu/projects/air/projects/URMP.html](http://www2.ece.rochester.edu/projects/air/projects/URMP.html)
Audio Source: [http://www2.ece.rochester.edu/projects/air/projects/URMP.html](http://www2.ece.rochester.edu/projects/air/projects/URMP.html)

Introducing paper: Creating a Multitrack Classical Music Performance Dataset for Multimodal Music Analysis: Challenges, Insights, and Applications
CCMixter

**CCMixter** is a singing voice separation dataset consisting of 50 full-length stereo tracks from [ccMixter](www.ccmixter.org) featuring many different musical genres. For each song there are three WAV files available: the background music, the voice signal, and their sum.

Source: [Kernel Additive Models for Source Separation](https://doi.org/10.1109/TSP.2014.2332434)
Audio Source: [https://members.loria.fr/ALiutkus/kam/](https://members.loria.fr/ALiutkus/kam/)

Introducing paper: Kernel Additive Models for Source Separation
GoodSounds

**GoodSounds** dataset contains around 28 hours of recordings of single notes and scales played by 15 different professional musicians, all of them holding a music degree and having some expertise in teaching. 12 different instruments (flute, cello, clarinet, trumpet, violin, alto sax alto, tenor sax, baritone sax, soprano sax, oboe, piccolo and bass) were recorded using one or up to 4 different microphones. For all the instruments the whole set of playable semitones in the instrument is recorded several times with different tonal characteristics. Each note is recorded into a separate monophonic audio file of 48kHz and 32 bits. Rich annotations of the recordings are available, including details on recording environment and rating on tonal qualities of the sound (“good-sound”, “bad”, “scale-good”, “scale-bad”).

Source: [A real-time system for measuring sound goodness in instrumental sounds](http://mtg.upf.edu/node/3197)
Image Source: [A real-time system for measuring sound goodness in instrumental sounds](http://mtg.upf.edu/node/3197)
Audio Source: [https://zenodo.org/record/820937](https://zenodo.org/record/820937)

Introducing paper: A real-time system for measuring sound goodness in instrumental sounds