Keywords:
- Automatic Speech Recognition
- Classification
- detection
- Formants
- hypoglycemia
- language disorder
- Large Language Models
- machine learning
- neurocomputational models
- noninvasive
- Parkinson's disease
- Parkinson's disease detection
- predictive coding
- speech pathology detection
- speech recognition
- SVM
- syllable-level-features
- syllables
- voice
Publications of Sevada Hovsepyan sorted by recency
| Listening to Hypoglycemia: Voice as a Biomarker for Detection of a Medical Emergency Using Machine Learning, , , , , , , , , , , and , in: Diabetes Care, 2025 |
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| Speech power spectra: a window into neural oscillations in Parkinson’s disease, and , in: Proceedings of Interspeech, 2025 |
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| Unsupervised Rhythm and Voice Conversion to Improve ASR on Dysarthric Speech, , , and , in: Proceedings of Interspeech, Rotterdam, Netherlands, ISCA, 2025 |
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| Speech power spectra: a window into neural oscillations in Parkinson's disease, and , Idiap-RR-02-2025 |
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| Neurocomputational model of speech recognition for pathological speech detection: a case study on Parkinson’s disease speech detection, and , in: Proceedings of Interspeech, Kos Island, Greece, pages 3590-3594, 2024 |
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| Towards interfacing large language models with ASR systems using confidence measures and prompting, , , , and , in: Proceedings of Interspeech, pages 2980-2984, 2024 |
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| SYLLABLE LEVEL FEATURES FOR PARKINSON'S DISEASE DETECTION FROM SPEECH, and , in: ICASSP, 2024 |
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