@inproceedings{8b4be21e43dd4d78918b00f0f52ab70c,
title = "Check Your Audio Data: Nkululeko for Bias Detection",
abstract = "We present a new release of the software tool Nkululeko. New additions enable users to automatically perform sanity checks, data cleaning, and bias detection in the data based on machine learning predictions. Two open-source databases from the medical domain are investigated: the Androids de-pression corpus and the UASpeech dysarthria corpus. Results show that both databases have some bias, but not in a severe manner.",
keywords = "bias detection, machine learning, open-source tool, speaker characteristics",
author = "Felix Burkhardt and Atmaja, \{Bagus Tris\} and Anna Derington and Florian Eyben and Bjorn Schuller",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 27th Conference on the Oriental COCOSDA International Committee for the Co-Ordination and Standardisation of Speech Databases and Assessment Techniques, O-COCOSDA 2024 ; Conference date: 17-10-2024 Through 19-10-2024",
year = "2024",
doi = "10.1109/O-COCOSDA64382.2024.10800580",
language = "English",
series = "2024 27th Conference on the Oriental COCOSDA International Committee for the Co-Ordination and Standardisation of Speech Databases and Assessment Techniques, O-COCOSDA 2024 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
editor = "Ming-Hsiang Su and Jui-Feng Yeh and Yuan-Fu Liao and Chi-Chun Lee and Yu Taso",
booktitle = "2024 27th Conference on the Oriental COCOSDA International Committee for the Co-Ordination and Standardisation of Speech Databases and Assessment Techniques, O-COCOSDA 2024 - Proceedings",
address = "United States",
}