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Vikram Ramanarayanan

30 papers · 2016–2025 · 3 venues · across top CS/AI venues

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Papers

Accessible Real-time Eye-gaze Tracking for Neurocognitive Health Assessment: A Multimodal Web-based Approach Interspeech 2025 An Exploration of Interpretable Deep Learning Models for the Assessment of Mild Cognitive Impairment Interspeech 2025 Multimodal Speech-Based Biomarkers Outperform the ALS Functional Rating Scale in Predicting Individual Disease Progression in ALS Interspeech 2025 Multimodal Speech, Language and Orofacial Analysis for Remote Assessment of Positive, Negative and Cognitive Symptoms in Schizophrenia Interspeech 2025 How Consistent are Speech-Based Biomarkers in Remote Tracking of ALS Disease Progression Across Languages? A Case Study of English and Dutch Interspeech 2024 Multimodal Digital Biomarkers for Longitudinal Tracking of Speech Impairment Severity in ALS: An Investigation of Clinically Important Differences Interspeech 2024 Preliminary Investigation of Psychometric Properties of a Novel Multimodal Dialog Based Affect Production Task in Children and Adolescents with Autism Interspeech 2024 Towards Scalable Remote Assessment of Mild Cognitive Impairment Via Multimodal Dialog Interspeech 2024 A Multimodal Investigation of Speech, Text, Cognitive and Facial Video Features for Characterizing Depression With and Without Medication Interspeech 2023 Combining Multiple Multimodal Speech Features into an Interpretable Index Score for Capturing Disease Progression in Amyotrophic Lateral Sclerosis Interspeech 2023 Remote Assessment for ALS using Multimodal Dialog Agents: Data Quality, Feasibility and Task Compliance Interspeech 2023 Responsiveness, Sensitivity and Clinical Utility of Timing-Related Speech Biomarkers for Remote Monitoring of ALS Disease Progression Interspeech 2023 When Words Speak Just as Loudly as Actions: Virtual Agent Based Remote Health Assessment Integrating What Patients Say with What They Do Interspeech 2023 Statistical and clinical utility of multimodal dialogue-based speech and facial metrics for Parkinson's disease assessment Interspeech 2022 Investigating the Interplay Between Affective, Phonatory and Motoric Subsystems in Autism Spectrum Disorder Using a Multimodal Dialogue Agent Interspeech 2021 Investigating the Utility of Multimodal Conversational Technology and Audiovisual Analytic Measures for the Assessment and Monitoring of Amyotrophic Lateral Sclerosis at Scale Interspeech 2021 Design and Development of a Human-Machine Dialog Corpus for the Automated Assessment of Conversational English Proficiency Interspeech 2020 On the Utility of Audiovisual Dialog Technologies and Signal Analytics for Real-time Remote Monitoring of Depression Biomarkers ACL 2020 Toward Remote Patient Monitoring of Speech, Video, Cognitive and Respiratory Biomarkers Using Multimodal Dialog Technology Interspeech 2020 FACTS: A Hierarchical Task-based Control Model of Speech Incorporating Sensory Feedback Interspeech 2018 Game-based Spoken Dialog Language Learning Applications for Young Students Interspeech 2018 Improvements to an Automated Content Scoring System for Spoken CALL Responses: the ETS Submission to the Second Spoken CALL Shared Task Interspeech 2018 Toward Automatically Measuring Learner Ability from Human-Machine Dialog Interactions using Novel Psychometric Models NAACL 2018 Toward Scalable Dialog Technology for Conversational Language Learning: Case Study of the TOEFL® MOOC Interspeech 2018 Database of Volumetric and Real-Time Vocal Tract MRI for Speech Science Interspeech 2017 Human and Automated Scoring of Fluency, Pronunciation and Intonation During Human–Machine Spoken Dialog Interactions Interspeech 2017 Jee haan, I’d like both, por favor: Elicitation of a Code-Switched Corpus of Hindi–English and Spanish–English Human–Machine Dialog Interspeech 2017 Rushing to Judgement: How do Laypeople Rate Caller Engagement in Thin-Slice Videos of Human–Machine Dialog? Interspeech 2017 A New Model of Speech Motor Control Based on Task Dynamics and State Feedback Interspeech 2016 Noise and Metadata Sensitive Bottleneck Features for Improving Speaker Recognition with Non-Native Speech Input Interspeech 2016