An engineering view on emotions and speech: From analysis and predictive models to responsible human-centered applications
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) …
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
Automated speaker recognition is enabling personalized interactions with the voice-based
interfaces and assistants part of the modern cyber-physical-social systems. Prior studies …
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
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) …
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 …
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
Detecting and mitigating bias in speaker verification systems is important, as datasets,
processing choices and algorithms can lead to performance differences that systematically …
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
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 …
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 …
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 …
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 …
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 …
way in order for it to become as used as fingerprint recognition, facial recognition, and iris …