This thesis examines acoustic and linguistic patterns of teams in interprofessional communication settings, including the cardiac operation theatre and collaborative learning in Science, Technology, Engineering, and Mathematics (STEM). Using speech and language processing techniques, it analyzes communication behaviors to identify factors that impact teamwork.

The first study explores "good" and "poor" communication scenarios in cardiac surgery, focusing on voice prosody and linguistic features. Significant differences were found in acoustic features like frequency and loudness, as well as linguistic aspects such as authenticity and emotional tone between the two communication types.

The second study investigates the impact of gender ratios on team dynamics in online STEM group study sessions. Results indicate significant differences in self-reported measures, linguistic patterns (i.e., analytical thinking, clout, speaking rate, tone), and acoustic features (i.e., pitch, loudness, and jitter) based on team composition.

This thesis highlights the potential of speech to be used as an unobtrusive marker for improving communication and collaboration in teams and could potentially inform training programs to enhance team functioning.