An engineering view on emotions and speech: From analysis and predictive models to responsible human-centered applications

CC Lee, T Chaspari, EM Provost… - Proceedings of the …, 2023 - ieeexplore.ieee.org
The substantial growth of Internet-of-Things technology and the ubiquity of smartphone
devices has increased the public and industry focus on speech emotion recognition (SER) …

[HTML][HTML] Causal reasoning for algorithmic fairness in voice controlled cyber-physical systems

G Fenu, M Marras, G Medda, G Meloni - Pattern Recognition Letters, 2023 - Elsevier
Automated speaker recognition is enabling personalized interactions with the voice-based
interfaces and assistants part of the modern cyber-physical-social systems. Prior studies …

Fairness and privacy in voice biometrics: A study of gender influences using wav2vec 2.0

O Chouchane, M Panariello, C Galdi… - … Conference of the …, 2023 - ieeexplore.ieee.org
This study investigates the impact of gender information on utility, privacy, and fairness in
voice biometric systems, guided by the General Data Protection Regulation (GDPR) …

[PDF][PDF] Design Patterns for Detecting and Mitigating Bias in Edge AI

W Hutiri - 2023 - pure.tudelft.nl
Prof. dr. ME Warnier Delft University of Technology Prof. dr. ir. N. Meratnia Eindhoven
University of Technology Prof. dr. CM Jonker Delft University of Technology Prof. dr. JA …

As Biased as You Measure: Methodological Pitfalls of Bias Evaluations in Speaker Verification Research

W Hutiri, T Patel, AY Ding, O Scharenborg - arxiv preprint arxiv …, 2024 - arxiv.org
Detecting and mitigating bias in speaker verification systems is important, as datasets,
processing choices and algorithms can lead to performance differences that systematically …

A Comparison of Differential Performance Metrics for the Evaluation of Automatic Speaker Verification Fairness

O Chouchane, C Busch, C Galdi, N Evans… - arxiv preprint arxiv …, 2024 - arxiv.org
When decisions are made and when personal data is treated by automated processes, there
is an expectation of fairness--that members of different demographic groups receive …

[PDF][PDF] Enhancing speaker verification accuracy with deep ensemble learning and inclusion of multifaceted demographic factors.

PN Palsapure, SK Kempegowda - International Journal of …, 2023 - academia.edu
Effective speaker identification is essential for achieving robust speaker recognition in real-
world applications such as mobile devices, security, and entertainment while ensuring high …

Advances in Privacy Preservation and Fairness Assessment for Voice Biometrics

O Chouchane - 2024 - theses.hal.science
This thesis explores the importance of strengthening compliance with regulatory frameworks
like the European General Data Protection Regulation (GDPR) in relation to data privacy …

Audio-textual multi-label demographic recognition of Arabic speakers using deep learning

S Al-Azani, R Almeshari, ES El-Alfy - Journal of Intelligent & Fuzzy … - content.iospress.com
Speaker demographic recognition and segmentation analytics play a key role in offering
personalized experiences across different automated industries and businesses. This paper …

Effect of Specific Data Variations on Automated Speaker Recognition

ED Meighen - 2024 - researchrepository.wvu.edu
Speaker recognition is not a new biometric modality but there are still many obstacles in the
way in order for it to become as used as fingerprint recognition, facial recognition, and iris …