128 citations · 480 across the 38 of their papers we have counts for
5 papers · 1 filter
AI-Based Emotion Recognition: Promise, Peril, and Prescriptions for Prosocial Path
Siddique Latif, Hafiz Shehbaz Ali, Muhammad Usama +3
Automated emotion recognition (AER) technology can detect humans' emotional states in real-time using facial expressions, voice attributes, text, body movements, and neurological s…
Automated Screening for Distress: A Perspective for the Future
Rajib Rana, Siddique Latif, Raj Gururajan +4
Distress is a complex condition which affects a significant percentage of cancer patients and may lead to depression, anxiety, sadness, suicide and other forms of psychological mor…
Gated Recurrent Unit (GRU) for Emotion Classification from Noisy Speech
Rajib Rana
Despite the enormous interest in emotion classification from speech, the impact of noise on emotion classification is not well understood. This is important because, due to the tre…
Emotion Classification from Noisy Speech - A Deep Learning Approach
Rajib Rana
This paper investigates the performance of Deep Learning for speech emotion classification when the speech is compounded with noise. It reports on the classification accuracy and c…
Opportunistic and Context-aware Affect Sensing on Smartphones: The Concept, Challenges and Opportunities
Rajib Rana, Margee Hume, John Reilly +2
Opportunistic affect sensing offers unprecedented potential for capturing spontaneous affect ubiquitously, obviating biases inherent in the laboratory setting. Facial expression an…