The Sound Interaction and Computing (SInC) Lab is headed by Prof. Mark Cartwright in the Informatics Department of New Jersey Institute of Technology. The lab pursues research at the intersection of human-computer interaction and machine learning with the aim of building tools to aid in the understanding and the creative expression of sound. To do so, the lab studies people’s needs and practices, researches new technology to meet those needs, and then studies how people use this new technology.

Updates

November 2025 - We are seeking applicants for a joint NJIT/NYU postdoc position on large audio language modeling for accessible captioning. Apply.

July 2025 - Mark Cartwright, Magdalena Fuentes, and Sooyeon Lee receive $800,000 NSF grant on accessible captioning on non-speech information.

June 2025 - SInC and collaborators contributed AI expertise to the Sensorium Ex opera recently premiered at Common Sense Festival at reported on by Forbes and PBS News Hour.

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Recent Publications

Morse, J., Naderi, A., Gaudl, S., Cartwright, M., Hoover, A.K., Nelson, M.J. Expressive Range Characterization of Open Text-to-Audio Models. In Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2025.

May, L., Clemens, M., Dang, K., Ohshiro, K., Sridhar, S., Wee, P., Fuentes, M., Lee, S., Cartwright, M. “Choices? That's the dream”: challenges and opportunities in non-speech information closed-captioning. In Frontiers in Computer Science. Sec.Human-Media Interaction, vol 7, 2025. 2025

Ohshiro, K., Cartwright, M. Audio Engineering for Podcasts by deaf and Hard of Hearing Creators. In Proceedings of the ACM Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA), 2025.

Anaraky, R., Cartwright, M., Nov, O. The Role of Auditory Environments and Anxiety in Detecting Phishing Emails. In Proceedings of the ACM CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA), 2025.

Sridhar, S., and Cartwright, M. Compositional Audio Representation Learning. In Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2025.

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