ISCA Archive IberSPEECH 2022
ISCA Archive IberSPEECH 2022

S3prl-Disorder: Open-Source Voice Disorder Detection System based in the Framework of S3PRL-toolkit

Dayana Ribas, Miguel Angel Pastor Yoldi, Antonio Miguel, David Martínez, Alfonso Ortega, Eduardo Lleida

This paper introduces S3prl-Disorder, an open-source toolkit for Automatic Voice Disorder Detection (AVDD) developed in the framework of the S3prl toolkit. It focuses on a binary classification task between healthy and pathological speech in the Saarbruecken Voice Database (SVD). However, the framework left room for following extensions to multi-class classification to differentiate among pathologies and to incorporate more datasets. This work aims to contribute on the development of automatic systems for diagnosis, treatment, and monitoring of voice pathologies in a common framework, that allows reproducibility and comparability among systems and results


doi: 10.21437/IberSPEECH.2022-28

Cite as: Ribas, D., Yoldi, M.A.P., Miguel, A., Martínez, D., Ortega, A., Lleida, E. (2022) S3prl-Disorder: Open-Source Voice Disorder Detection System based in the Framework of S3PRL-toolkit . Proc. IberSPEECH 2022, 136-140, doi: 10.21437/IberSPEECH.2022-28

@inproceedings{ribas22_iberspeech,
  author={Dayana Ribas and Miguel Angel Pastor Yoldi and Antonio Miguel and David Martínez and Alfonso Ortega and Eduardo Lleida},
  title={{S3prl-Disorder: Open-Source Voice Disorder Detection System based in the Framework of S3PRL-toolkit }},
  year=2022,
  booktitle={Proc. IberSPEECH 2022},
  pages={136--140},
  doi={10.21437/IberSPEECH.2022-28}
}