7 accepted papers
Studies show that individual attributes such as age and gender significantly influence physiological responses and their correlation with stress, often forming complex and overlapping relationships. These attributes are essential for enhancing physiological signal-based stress detection. Our work le…
Accurate stress detection from physiological signals is often complicated by individual identity traits, which must first be identified before they can be effectively removed to improve model performance. To address this, we propose a method that combines Detrended Fluctuation Analysis (DFA) and Aug…
Speech emotion recognition (SER) is a vital component in various everyday applications. Cross-corpus SER models are increasingly recognized for their ability to generalize performance. However, concerns arise regarding fairness across demographics in diverse corpora. Existing fairness research often…
Speech emotion recognition (SER) adds to the humane aspects of voice technologies to enhance user experiences. The ground truth emotion annotations provided by human raters and attributes related to the speakers themselves arise a compounded fairness issue in SER. While there exist works in fair SER…
Continuously identifying day-to-day mental stress can be realized by accessing wearable devices to measure physiological indicators. However, the nature of bodily signals raises issues of privacy and data heterogeneity. Recent federated learning scheme provides a promising direction to alleviate the…
Speech emotion recognition (SER) is a key technological module to be integrated into many voice-based solutions. One of the unique fairness issues in SER is caused by the inherently biased emotion perception given by the raters as ground truth labels. Mitigating rater biases are at core for SER to m…
Modeling cross-lingual speech emotion recognition (SER) has become more prevalent because of its diverse applications. Existing studies have mostly focused on technical approaches that adapt the feature, domain, or label across languages, without considering in detail the similarities between the la…