Gowtham Premananth

Gowtham Premananth

PhD Student at the University of Maryland College Park, USA.

Publications

Conference Papers

A Multimodal Framework for the Assessment of the Schizophrenia Spectrum

Interspeech, September 05, 2024

This paper is about the use of a multi-modal approach involving audio,video, and text of human speech to identify different symptom categories of schizophrenia spectrum.

Recommended citation: Premananth, G., Siriwardena, Y.M., Resnik, P., Bansal, S., L.Kelly, D., Espy-Wilson, C. (2024) A Multimodal Framework for the Assessment of the Schizophrenia Spectrum. Proc. Interspeech 2024, 1470-1474, doi: 10.21437/Interspeech.2024-2224
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A multi-modal approach for identifying schizophrenia using cross-modal attention

46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, July 17, 2024

This paper is about the use of a multi-modal approach involving audio,video, and text of human speech to identify schizophrenia in subjects.

Recommended citation: G. Premananth, Y. M. Siriwardena, P. Resnik, and C. Espy-Wilson, ‘A multi-modal approach for identifying schizophrenia using cross-modal attention’, arXiv preprint arXiv:2309. 15136, 2023.
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Automated gastrointestinal abnormalities detection from endoscopic images

IEEE 16th International Conference on Industrial and Information Systems (ICIIS), September 12, 2021

This paper is about the application of transfer learning applied to a specific medical diagnostics problem, that of abnormality detection in the gastrointestinal tract of a human body using images obtained during endoscopy.

Recommended citation: P. Gowtham, M. Niranjan and A. Kaneswaran, "Automated gastrointestinal abnormalities detection from endoscopic images," 2021 IEEE 16th International Conference on Industrial and Information Systems (ICIIS), Kandy, Sri Lanka, 2021, pp. 191-196, doi: 10.1109/ICIIS53135.2021.9660670.
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Preprints

Self-supervised Multimodal Speech Representations for the Assessment of Schizophrenia Symptoms

Accepted for presentation at ICASSP 2025, December 21, 2024

This paper is about the use of a self- supervised multi-modal approach involving audio, and video human speech to estimate the severity of Schizophrenia symptoms.

Recommended citation: G. Premananth and C. Espy-Wilson, ‘Self-supervised Multimodal Speech Representations for the Assessment of Schizophrenia Symptoms’, arXiv preprint arXiv:2409. 09733, 2024.
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Speech-Based Estimation of Schizophrenia Severity Using Feature Fusion

Accepted for presentation at SPADE workshop in ICASSP 2025, December 18, 2024

This paper is about the use of a feature fusion of articulatory and acoustic features for schizophrenia severoty estimation.

Recommended citation: G. Premananth and C. Espy-Wilson, ‘Speech-Based Estimation of Schizophrenia Severity Using Feature Fusion’, arXiv preprint arXiv:2411.06033, 2024.
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