Heidelberg Spiking Datasets

Heidelberg Spiking Datasets

Citation Author(s):
Benjamin
Cramer
Yannik
Stradmann
Johannes
Schemmel
Friedemann
Zenke
Submitted by:
Friedemann Zenke
Last updated:
Tue, 01/21/2020 - 14:54
DOI:
10.21227/51gn-m114
Data Format:
Links:
License:
Dataset Views:
240
Share / Embed Cite

The Heidelberg Spiking Datasets comprise two spike-based classification datasets: The Spiking Heidelberg Digits (SHD) dataset and the Spiking Speech Command (SSC) dataset. The latter is derived from Pete Warden's Speech Commands dataset (https://arxiv.org/abs/1804.03209), whereas the former is based on a spoken digit dataset recorded in-house and included in this repository. Both datasets were generated by applying a detailed inner ear model to audio recordings. We distribute the input spikes and target labels in HDF5 format. SHD as well as SSC are released under the Creative Commons Attribution 4.0 International License.

Instructions: 

We provide two distinct classification datasets for spiking neural networks. | Name | Classes | Samples (train/valid/test) | Parent dataset | URL | | ---- | ------- | ------ | ------------------------- | --- | | SHD | 20 | 8332/-/2088 | Heidelberg Digits (HD) | https://compneuro.net/datasets/hd_audio.tar.gz | | SSC | 35 | 75466/9981/20382 | Speech Commands v0.2 | https://arxiv.org/abs/1804.03209 | Both datasets are based on respective audio datasets. Spikes in 700 input channels were generated using an artificial cochlea model. The SHD consists of approximately 10000 high-quality aligned studio recordings of spoken digits from 0 to 9 in both German and English language. Recordings exist of 12 distinct speakers two of which are only present in the test set. The SSC is based on the Speech Commands release by Google which consists of utterances recorded from a larger number of speakers under less controlled conditions. It contains 35 word categories from a larger number of speakers.

Dataset Files

You must login with an IEEE Account to access these files. IEEE Accounts are FREE.

Sign Up now or login.

Documentation

AttachmentSize
Binary Data Readme file with example Python code4.88 KB

Embed this dataset on another website

Copy and paste the HTML code below to embed your dataset:

Share via email or social media

Click the buttons below:

facebooktwittermailshare
[1] Benjamin Cramer, Yannik Stradmann, Johannes Schemmel, Friedemann Zenke, "Heidelberg Spiking Datasets", IEEE Dataport, 2019. [Online]. Available: http://dx.doi.org/10.21227/51gn-m114. Accessed: Jan. 21, 2020.
@data{51gn-m114-19,
doi = {10.21227/51gn-m114},
url = {http://dx.doi.org/10.21227/51gn-m114},
author = {Benjamin Cramer; Yannik Stradmann; Johannes Schemmel; Friedemann Zenke },
publisher = {IEEE Dataport},
title = {Heidelberg Spiking Datasets},
year = {2019} }
TY - DATA
T1 - Heidelberg Spiking Datasets
AU - Benjamin Cramer; Yannik Stradmann; Johannes Schemmel; Friedemann Zenke
PY - 2019
PB - IEEE Dataport
UR - 10.21227/51gn-m114
ER -
Benjamin Cramer, Yannik Stradmann, Johannes Schemmel, Friedemann Zenke. (2019). Heidelberg Spiking Datasets. IEEE Dataport. http://dx.doi.org/10.21227/51gn-m114
Benjamin Cramer, Yannik Stradmann, Johannes Schemmel, Friedemann Zenke, 2019. Heidelberg Spiking Datasets. Available at: http://dx.doi.org/10.21227/51gn-m114.
Benjamin Cramer, Yannik Stradmann, Johannes Schemmel, Friedemann Zenke. (2019). "Heidelberg Spiking Datasets." Web.
1. Benjamin Cramer, Yannik Stradmann, Johannes Schemmel, Friedemann Zenke. Heidelberg Spiking Datasets [Internet]. IEEE Dataport; 2019. Available from : http://dx.doi.org/10.21227/51gn-m114
Benjamin Cramer, Yannik Stradmann, Johannes Schemmel, Friedemann Zenke. "Heidelberg Spiking Datasets." doi: 10.21227/51gn-m114