Detecting emotional valence using time-domain analysis of speech signals.

Mental health is a growing concern and its problems range from inability to cope with day-to-day stress to severe conditions like depression. Ability to detect these symptoms heavily relies on accurate measurements of emotion and its components, such as emotional valence comprising of positive, negative and neutral affect. Speech as a bio-signal to measure valence is interesting because of the ubiquity of smartphones that can easily record and process speech signals.

Comparing Manual and Machine Annotations of Emotions in Non-acted Speech.

Psychological well-being at the workplace has increased the demand for detecting emotions with higher accuracies. Speech, one of the most non-obtrusive modes of capturing emotions at the workplace, is still in need of robust emotion annotation mechanisms for non-acted speech corpora. In this paper, we extend our experiments on our non-acted speech database in two ways.

Employee engagement and job satisfaction in the information technology industry.

Employee engagement has been identified as being important to employee productivity and performance. Measures of employee engagement and job satisfaction in the context of information technology (IT) were developed to explore how employee engagement affects perceived job satisfaction. In a sample of IT professionals (N = 159), controlling for age, sex, job tenure, and marital status, employee engagement had a significant and positive correlation with job satisfaction.