5 papers
Behind the Screens: Uncovering Bias in AI-Driven Video Interview Assessments Using Counterfactuals
Dena F. Mujtaba, Nihar R. Mahapatra
AI-enhanced personality assessments are increasingly shaping hiring decisions, using affective computing to predict traits from the Big Five (OCEAN) model. However, integrating AI…
Fine-Tuning ASR for Stuttered Speech: Personalized vs. Generalized Approaches
Dena Mujtaba, Nihar Mahapatra
Stuttering -- characterized by involuntary disfluencies such as blocks, prolongations, and repetitions -- is often misinterpreted by automatic speech recognition (ASR) systems, res…
Systematic FAIRness Assessment of Open Voice Biomarker Datasets for Mental Health and Neurodegenerative Diseases
Ishaan Mahapatra, Nihar R. Mahapatra
Voice biomarkers--human-generated acoustic signals such as speech, coughing, and breathing--are promising tools for scalable, non-invasive detection and monitoring of mental health…
Fairness in AI-Driven Recruitment: Challenges, Metrics, Methods, and Future Directions
Dena F. Mujtaba, Nihar R. Mahapatra
The recruitment process significantly impacts an organization's performance, productivity, and culture. Traditionally, human resource experts and industrial-organizational psycholo…
Inclusive ASR for Disfluent Speech: Cascaded Large-Scale Self-Supervised Learning with Targeted Fine-Tuning and Data Augmentation
Dena Mujtaba, Nihar R. Mahapatra, Megan Arney +3
Automatic speech recognition (ASR) systems often falter while processing stuttering-related disfluencies -- such as involuntary blocks and word repetitions -- yielding inaccurate t…