Gowtham Premananth

Gowtham Premananth

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

Publications

Conference Papers

Multimodal Biomarkers for Schizophrenia: Towards Individual Symptom Severity Estimation

Interspeech 2025, August 18, 2025

This paper is about the use of multimodal features (articulatory, acoustic, video and text) to estimate the severity of individual schizophrenia symptoms to get a more granular understanding of the disorder.

Recommended citation: Premananth, G., Resnik, P., Bansal, S., Kelly, D.L., Espy-Wilson, C. (2025) Multimodal Biomarkers for Schizophrenia: Towards Individual Symptom Severity Estimation. Proc. Interspeech 2025, 3065-3069, doi: 10.21437/Interspeech.2025-2332
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Analyzing the Impact of Accent on English Speech: Acoustic and Articulatory Perspectives

Interspeech 2025, August 18, 2025

This paper is about analyzing how accents affect speech production when compared to native speakers by using articulatory features and acoustic features and interpreting those differences.

Recommended citation: Premananth, G., Kugathasan, V., Espy-Wilson, C. (2025) Analyzing the Impact of Accent on English Speech: Acoustic and Articulatory Perspectives. Proc. Interspeech 2025, 1493-1497, doi: 10.21437/Interspeech.2025-2342
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Speech-Based Estimation of Schizophrenia Severity Using Feature Fusion

SPADE workshop in ICASSP 2025, April 07, 2025

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," 2025 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW), Hyderabad, India, 2025, pp. 1-5, doi: 10.1109/ICASSPW65056.2025.11011243.
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Self-supervised Multimodal Speech Representations for the Assessment of Schizophrenia Symptoms

ICASSP 2025, March 07, 2025

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," ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Hyderabad, India, 2025, pp. 1-5, doi: 10.1109/ICASSP49660.2025.10888608.
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A Multimodal Framework for the Assessment of the Schizophrenia Spectrum

Interspeech 2024, 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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