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About us Practical matters How to find us S. (Shekhar) Nayak, PhD

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

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

AMuSeD: An Attentive Deep Neural Network for Multimodal Sarcasm Detection Incorporating Bi-modal Data Augmentation

Gao, X., Bansal, S., Gowda, K., Li, Z., Nayak, S., Kumar, N. & Coler, M., 13-Dec-2024, (Submitted) arXiv, 13 p.

Research output: Working paper › Preprint › Academic

Fine-Tuning Strategies for Dutch Dysarthric Speech Recognition: Evaluating the Impact of Healthy, Disease-Specific, and Speaker-Specific Data

Leivaditi, S., Matsushima, T., Coler, M., Nayak, S. & Verkhodanova, V., 1-Sept-2024, Proceedings of Interspeech 2024. ISCA, p. 1295-1299 5 p.

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

Improving sarcasm detection from speech and text through attention-based fusion exploiting the interplay of emotions and sentiments

Gao, X., Nayak, S. & Coler, M., 31-Jul-2024, Proceedings of Meetings on Acoustics. 1 ed. AIP Conference proceedings, Vol. 54. 12 p.

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

Improving Luxembourgish Speech Recognition with Cross-Lingual Speech Representations

Nguyen, L. M., Nayak, S. & Coler, M., 2023, 2022 IEEE Spoken Language Technology Workshop, SLT 2022 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 792-797 6 p. (2022 IEEE Spoken Language Technology Workshop, SLT 2022 - Proceedings).

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

SarcasticSpeech: Speech Synthesis for Sarcasm in Low-Resource Scenarios

Li, Z., Gao, X., Nayak, S. & Coler, M., Aug-2023, Proceedings 12th ISCA Speech Synthesis Workshop (SSW2023). ISCA, p. 242-243 2 p.

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

Deep CNN-based Inductive Transfer Learning for Sarcasm Detection in Speech

Gao, X., Nayak, S. & Coler, M., 18-Sept-2022, Proceedings of Interspeech 2022. ISCA, p. 2323-2327 5 p.

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

All (9) 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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