Women and Emotion Multimodal Affective Computing (WEMAC) dataset, from UC3M4Safety Database - Signal Processing

Introduction

This GitHub repository aims to provide the details of the signal processing of the data of the WEMAC Database.

Dataset	DOI
UC3M4Safety Database - List of Audiovisual Stimuli	https://doi.org/10.21950/CXAAHR
UC3M4Safety Database - List of Audiovisual Stimuli (Video)	https://doi.org/10.21950/LUO1IZ
WEMAC: Biopsychosocial questionnaire and informed consent	https://doi.org/10.21950/U5DXJR
WEMAC: Audio features	https://doi.org/10.21950/XKHCCW
WEMAC: Physiological signals	https://doi.org/10.21950/FNUHKE
WEMAC: Emotional labelling	https://doi.org/10.21950/RYUCLV

The raw audio signals cannot be provided due to privacy and ethical issues, but other audio features or embeddings can be provided upon request. Please contact the authors for further information.

Code for Speech Signals processing

[Speech Processing]

Citation

Dataset release:

@misc{wemac2022miranda,
  doi = {10.48550/ARXIV.2203.00456},
  url = {https://arxiv.org/abs/2203.00456},
  author = {Miranda, Jose A. and Rituerto-González, Esther and Gutiérrez-Martín, Laura and Luis-Mingueza, Clara and Canabal, Manuel F. and Bárcenas, Alberto Ramírez and Lanza-Gutiérrez, Jose M. and Peláez-Moreno, Carmen and López-Ongil, Celia},
  title = {WEMAC: Women and Emotion Multi-modal Affective Computing dataset},
  publisher = {arXiv},
  year = {2022},
  copyright = {Creative Commons Attribution 4.0 International}
}

Notes

Please note that this GitHub repository is subject to changes. Contact the corresponding authors for any request on audio features or embeddings so they can be considered to be extracted and uploaded here.

Authors

Esther Rituerto González, erituert [at] ing(dot)uc3m(dot)es [GitHub]
Jose Ángel Miranda Calero, jmiranda [at] ing(dot)uc3m(dot)es [GitHub]

Acknowledgements

The authors thank all the members of the UC3M4Safety for their contribution and support of the present work!

BINDI-UC3M / wemac_dataset_signal_processing