galbezalel/youtube_bigband

YouTubeBigBand Dataset

Inspired by the YouTubeMix dataset.

Source: https://www.youtube.com/watch?v=I4KAKqF4mjE - a 2 hour long mix of jazz tracks played by a big band.

Used for pre-training a SaShiMi model (see citation) as part of Tel Aviv University Deep Learning Workshop 2024 Semester B (see project repository fork).

We include two versions of the dataset:

• youtubebigband.zip is a zip file containing 129 1-minute audio clips (re)sampled at 16kHz. These were generated by splitting the original audio track.
• raw_bigband.wav is the raw audio track from the YouTube video, sampled at 44.1kHz.

@article{goel2022sashimi,
  title={It's Raw! Audio Generation with State-Space Models},
  author={Goel, Karan and Gu, Albert and Donahue, Chris and R\'{e}, Christopher},
  journal={arXiv preprint arXiv:2202.09729},
  year={2022}
}

@misc{deepsound,
  author = {DeepSound},
  title = {SampleRNN},
  year = {2017},
  publisher = {GitHub},
  journal = {GitHub repository},
  howpublished = {\url{https://github.com/deepsound-project/samplernn-pytorch}},
}