WaivOps SYN-SE1: Open Audio Resources for Machine Learning in Music

SYN-SE1 Dataset

SYN-SE1 is an open audio dataset containing archived recordings of a Studio Electronics SE1 analog synthesizer. It includes 1,000 one-shot audio samples recorded in uncompressed stereo WAV format, labeled by note key across a two-octave range. The presets encompass a variety of distinct synth bass and lower-pitched lead sounds, featuring filter modulations and spatial stereo imaging, providing a valuable resource for soundfont design, audio production, and training data for generative AI models.

The primary purpose of this dataset is to provide accessible content for machine learning applications in music and audio. Potential use cases include pitch detection, musical note classification, audio synthesis, music information retrieval (MIR), sound design, and signal processing.

• 1,000 audio samples
• 16-bit WAV format
• Key note labeled samples
• JSON reference
• Analog synth bass and leads

License

This dataset was compiled by WaivOps, a crowdsourced music project managed and published by Patchbanks. All recordings have been obtained from verified sources to ensure copyright clearance.

The SYN-SE1 dataset is licensed under Creative Commons Attribution 4.0 International (CC BY 4.0).

Additional Info

For audio examples or more information about this dataset, please refer to the GitHub repository.