S. (Shekhar) Nayak, PhD

Assistant Professor - Speech Technology

Campus Fryslân

Telephone:

+31 6 8737 9845

E-mail:

s.nayak rug.nl

ORCID Research Portal

Publications

Evaluating Multimodal Large Language Models on Spoken Sarcasm Understanding

Li, Z., Gao, X., Zhang, Y., Nayak, S. & Coler, M., 18-Sept-2025, (Submitted) arXiv, 5 p.

Research output: Working paper › Preprint › Academic

Integrating Feedback Loss from Bi-modal Sarcasm Detector for Sarcastic Speech Synthesis

Li, Z., Zhang, Y., Gao, X., Raghuvanshi, D., Kumar, N., Nayak, S. & Coler, M., 18-Aug-2025, (Submitted) arXiv, 7 p.

Research output: Working paper › Preprint › Academic

Intra-modal Relation and Emotional Incongruity Learning using Graph Attention Networks for Multimodal Sarcasm Detection

Raghuvanshi, D., Gao, X., Li, Z., Bansal, S., Coler, M., Kumar, N. & Nayak, S., 2025, 2025 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2025 - Proceedings. Rao, B. D., Trancoso, I., Sharma, G. & Mehta, N. B. (eds.). IEEE, 5 p. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Investigating Adapters for Parameter-efficient Low-resource Automatic Speech Recognition

Samin, A. M., Nayak, S., DeMarco, A. & Borg, C., 4-May-2025, Proceedings of the 10th Workshop on Representation Learning for NLP (RepL4NLP-2025). Adlakha, V., Chronopoulou, A., Lorraine Li, X., Prasad Majumder, B., Shi, F. & Vernikos, G. (eds.). ACL, p. 100-107 8 p.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Leveraging Large Language Models for Sarcastic Speech Annotation in Sarcasm Detection

Li, Z., Zhang, Y., Gao, X., Nayak, S. & Coler, M., Aug-2025, Proceedings of Interspeech 2025. ISCA, p. 3973-3977 5 p.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Leveraging Large Language Models for Sarcastic Speech Annotation in Sarcasm Detection

Li, Z., Zhang, Y., Gao, X., Nayak, S. & Coler, M., 1-Jun-2025, (Submitted) arXiv, 5 p.

Research output: Working paper › Preprint › Academic

Spoken in jest, detected in earnest: A systematic review of sarcasm recognition - multimodal fusion, challenges, and future prospects

Gao, X., Nayak, S. & Coler, M., 19-Sept-2025, (E-pub ahead of print) In: IEEE Transactions on Affective Computing. 20 p.

Research output: Contribution to journal › Article › Academic › peer-review

A Functional Trade-off between Prosodic and Semantic Cues in Conveying Sarcasm

Li, Z., Gao, X., Zhang, Y., Nayak, S. & Coler, M., 1-Sept-2024, Proceedings of Interspeech 2024. ISCA, p. 1070-1074 5 p.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic

A Functional Trade-off between Prosodic and Semantic Cues in Conveying Sarcasm

Li, Z., Gao, X., Zhang, Y., Nayak, S. & Coler, M., 27-Aug-2024, (Submitted) arXiv, 5 p.

Research output: Working paper › Preprint › Academic

Akha, Dara-ang, Karen, Khamu, Mlabri and Urak Lawoi’ language minorities’ subjective perception of their languages and the outlook for development of digital tools

Dolińska, J., Nayak, S. & Suraratdecha, S., 2024, Proceedings of the Seventh Workshop on the Use of Computational Methods in the Study of Endangered Languages. Moeller, S., Agyapong, G., Arppe, A., Chaudhary, A., Rijhwani, S., Cox, C., Henke, R., Palmer, A., Rosenblum, D. & Schwartz, L. (eds.). Association for Computational Linguistics, ACL Anthology, p. 94-99 6 p.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

All (16) publications

Press/media

Researchers announce they have built a sarcasm detector using AI

Nayak, S.

17/05/2024

Press/Media: Expert Comment › Popular

All (1) press/media

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