Omkar2118/datasets huggingface dataset:
SSC
Full name: Spiking Speech Commands v0.2

The SSC dataset is a spiking version of the Speech Commands dataset release by Google [(Speech Commands)](https://paperswithcode.com/dataset/speech-commands). SSC was  generated using Lauscher, an artificial cochlea model. The SSC dataset consists of utterances recorded from a larger number of speakers under controlled conditions. Spikes were generated in 700 input channels, and it contains 35 word categories from a large number of speakers.

A full description of the dataset and how it was created can be found in the paper below. Please cite this paper if you make use of the dataset.

Cramer, B.; Stradmann, Y.; Schemmel, J.; and Zenke, F. "The Heidelberg Spiking Data Sets for the Systematic Evaluation of Spiking Neural Networks". IEEE Transactions on Neural Networks and Learning Systems 33, 2744–2757, 2022.

Introducing paper: The Heidelberg spiking datasets for the systematic evaluation of spiking neural networks