SHD

Spiking Heidelberg Digits

Dataset Information
Introduced
2019
License
Unknown
Homepage

Overview

The Spiking Heidelberg Digits (SHD) dataset is an audio-based classification dataset of 1k spoken digits ranging from zero to nine in the English and German languages. The audio waveforms have been converted into spike trains using an artificial model of the inner ear and parts of the ascending auditory pathway. The SHD dataset has 8,156 training and 2,264 test samples. 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.

Variants: SHD

Associated Benchmarks

This dataset is used in 1 benchmark:

Recent Benchmark Submissions

Task Model Paper Date
Audio Classification Event-SSM Scalable Event-by-event Processing of Neuromorphic … 2024-04-29
Audio Classification SNN with Dilated Convolution with Learnable Spacings Learning Delays in Spiking Neural … 2023-06-30
Audio Classification SNN featuring learnable axonal delays with adaptively delay caps Adaptive Axonal Delays in feedforward … 2023-02-16
Audio Classification SNN with spatio-temporal filters and attention STSC-SNN: Spatio-Temporal Synaptic Connection with … 2022-10-11
Audio Classification Recurrent convolutional SNN Fluctuation-driven initialization for spiking neural … 2022-06-21
Audio Classification FastSNN Robust and accelerated single-spike spiking … 2022-05-30
Audio Classification SNN MAP-SNN: Mapping Spike Activities with … 2022-04-21
Audio Classification SNN with temporal-wise attention Temporal-wise Attention Spiking Neural Networks … 2021-07-25
Audio Classification Sparse Spiking Gradient Descent Sparse Spiking Gradient Descent 2021-05-18
Audio Classification Recurrent SNN The Heidelberg spiking datasets for … 2019-10-16
Audio Classification CNN The Heidelberg spiking datasets for … 2019-10-16

Research Papers

Recent papers with results on this dataset: