mshoxxDB - a Versioned Dataset for Electronic Music

Description: Version 1 consists of 18 full-length pieces of music in the genre of Electronic Music, totaling 61 minutes of audio. The dataset spans a number of sub-genres of Electronic Music: Video Game, 8-Bit (Chiptune), EDM, Pop, House, Chillout/Dreamy. The dataset is suited for a variety of tasks in the field of Music Information Retrieval (MIR), such as Source Separation, Multi-Pitch Estimation, Beat Detection, Tempo Estimation. It is particularly interesting for instrument-agnostic methods and evaluations of model generalization due to the wide variety of synthetic and traditional timbres. Contents:- mixtures and multi-tracks in FLAC format (44.1 kHz, 16-Bit, Mono, compression level 6)- track-wise MIDI files- CSV metadata with genre, tempo, time signature, and artist information Technical Properties: Not all mixtures are exact sums of their respective multi-tracks. The mixtures may contain additional processing in the form of limiters and compression (on the full mix or side-chain compression from one track to another). No harmonic effects were added onto the mixtures (= effects such as reverbs, echos, and delays that add more harmonic information and would result in mismatches between MIDI and audio). License: All contents distributed under Creative Commons BY-NC-SA 4.0. Demo Page: For a few listening examples, please visit this dataset's github page at https://mic-tae.github.io/mshoxxdb/. Repo: The mshoxxDB repo is located at https://github.com/mic-tae/mshoxxdb, and may contain more up-to-date information (README.md). Citation: Should you use this dataset in your work, please cite it the following way (bibtex): @misc {taenzer:mshoxxDB:2024, author = {Taenzer, Michael}, title = {{mshoxxDB - a Versioned Dataset for Electronic Music}}, booktitle = {{Late-Breaking and Demo Session of the 25th International Conference on Music Information Retrieval (ISMIR)}}, address = {{San Francisco, CA, USA}}, year = {2024},}