Chitralekha Gupta

Senior Research Fellow

Chitralekha joined the Augmented Human Lab in the the National University of Singapore (NUS) as a Research Fellow. Her interests include Neural Audio Synthesis, and Music Information Retrieval, specifically singing voice analysis and evaluation, and applications of speech recognition techniques in music such as lyrics alignment and transcription. Chitralekha obtained her PhD degree from NUS.


Wen, E., Gupta, C., Sasikumar, P., Billinghurst, M., Wilmott, J., Skow, E., Dey, A., Nanayakkara, S.C. A Real-world Dataset for Virtual Reality Motion Sickness Research. The 31st IEEE Conference on Virtual Reality and 3D User Interfaces, 2024. Best Paper Award!

Gupta C*., Kamath P*., Wei. Y., Li, Z., Nanayakkara S.C., Wyse L. 2023. Towards Controllable Audio Texture Morphing. In 48th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '23), 4-10 June, 2023, Rhodes Island, Greece.

Kamath, P., Li, Z., Gupta, C., Jaidka, K., Nanayakkara, S.C. and Wyse, L. 2023. Evaluating Descriptive Quality of AI Generated Audio Using Image-Schemas. In 28th International Conference on Intelligent User Interfaces (IUI ’23), March 27–31, 2023, Sydney, NSW, Australia.

Nguyen, M., Samaradivakara, Y., Sasikumar, P., Gupta, C. and Nanayakkara, S.C., 2023, December. EMO-KNOW: A Large Scale Dataset on Emotion-Cause. In Findings of the Association for Computational Linguistics: EMNLP 2023 (pp. 11043-11051).

Siriwardhana, S*., Gupta, C.*, Kaluarachchi, T., Dissanayake, V., Ellawela, S., & Nanayakkara, S.C. (2023). Can AI Models Summarize Your Diary Entries? Investigating Utility of Abstractive Summarization for Autobiographical Text. International Journal of Human–Computer Interaction, 1–19.

Chua, P., Gupta, C., R Agres, K. and Nanayakkara, S., 2022. Computational Music Systems for Emotional Health and Wellbeing: A Review.