2024
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Kamath, P., Gupta, C., & Nanayakkara, S. (2024). MorphFader: Enabling Fine-grained Controllable Morphing with Text-to-Audio Models. (Accepted and Pending Publication at ICASSP 2025). [Paper] [Webpage]
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Kamath, P., Gupta, C., Wyse, L., & Nanayakkara, S. (2024). Example-Based Framework for Perceptually Guided Audio Texture Generation. In IEEE/ACM Transactions on Audio, Speech, and Language Processing (IEEE TASLP), vol. 32, pp. 2555-2565, 2024. [Paper] [Webpage]
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Kamath, P., Morreale, F., Bagaskara, P., Wei, Y., & Nanayakkara, S. (2024). Sound Designer-Generative AI Interactions: Towards Designing Creative Support Tools for Professional Sound Designers. In Proceedings of the CHI Conference on Human Factors in Computing Systems (CHI). Association for Computing Machinery, New York, NY, USA, Article 730, 1–17, 2024. [Paper] [Webpage]
2023
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Kamath, P., Islam, T. N., Gupta, C., Wyse, L., & Nanayakkara, S. Dcase task-7: StyleGAN2-based foley sound synthesis. Tech. Rep., June 2023.
Won the 3rd place at DCASE Foley Sound Synthesis Challenge 2023. [Paper] -
Kamath, P., Li, Z., Gupta, C., Jaidka, K., Nanayakkara, S., & Wyse, L. (2023, March). Evaluating Descriptive Quality of AI-Generated Audio Using Image-Schemas. In Proceedings of the 28th International Conference on Intelligent User Interfaces (IUI ‘23) , March 27–31, Sydney, NSW, Australia, pp. 621-632, 2023. [Paper] [Webpage]
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Gupta, C. * , Kamath, P. * , Wei, Y., Li, Z., Nanayakkara, S., & Wyse, L. Towards Controllable Audio Texture Morphing. In 48th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 1-5), 2023. [Paper] [Webpage]
*equal contribution.
2022
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Gupta, C., Wei, Y., Gong, Z., Kamath, P., Li, Z., Wyse, L. Parameter Sensitivity of Deep-Feature based Evaluation Metrics for Audio Textures. In 23rd International Society for Music Informaiton Retrieval Conference (ISMIR). 2022. [Paper] [Webpage]
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Wyse, L., Kamath, P., Gupta, C. Sound Model Factory: An Integrated System Architecture for Generative Audio Modelling. In International Conference on Computational Intelligence in Music, Sound, Art and Design (Part of EvoStar) (pp. 308-322). Springer, Cham. 2022. [Paper] [Webpage]
2021
- Gupta, C., Kamath, P., Wyse, L. Signal Representations for Synthesizing Audio Textures with Generative Adversarial Networks. In Proceedings of Sound and Music Computing Conference (SMC), 2021. [Paper] [Webpage]
2020
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Kamath, P. A Lacanian Perspective on Artificial Intelligence. Manuscript written and submitted to CNM Graduate Conference, 2020.
Won the best full paper award at gCON 2020. [Paper] -
Kamath, P. Artificial Super Intelligence: Are we there yet?. Department of Communications and New Media, National University of Singapore, 2020. (Written as a 1st year PhD student). Book Review: Artificial Intelligence: A guide to thinking humans by Melanie Mitchell. [Paper]