Investigating articulatory setting - pauses, ready position, and rest - using real-time MRI. - Vikram Ramanarayanan; Dani Byrd; Louis Goldstein; Shrikanth S. Narayanan (INTERSPEECH, 2010)

Validating rt-MRI Based Articulatory Representations via Articulatory Recognition. - Athanasios Katsamanis; Erik Bresch; Vikram Ramanarayanan; Shrikanth S. Narayanan (INTERSPEECH, 2011)

A Multimodal Real-Time MRI Articulatory Corpus for Speech Research. - Shrikanth S. Narayanan; Erik Bresch; Prasanta Kumar Ghosh; Louis Goldstein; Athanasios Katsamanis; Yoon Kim; Adam C. Lammert; Michael I. Proctor; Vikram Ramanarayanan; Yinghua Zhu (INTERSPEECH, 2011)

Automatic Data-Driven Learning of Articulatory Primitives from Real-Time MRI Data Using Convolutive NMF with Sparseness Constraints. - Vikram Ramanarayanan; Athanasios Katsamanis; Shrikanth S. Narayanan (INTERSPEECH, 2011)

Exploiting speech production information for automatic speech and speaker modeling and recognition - possibilities and new opportunities. - Vikram Ramanarayanan; Prasanta Kumar Ghosh; Adam C. Lammert; Shrikanth S. Narayanan (APSIPA, 2012)

Analyzing eye-voice coordination in rapid automatized naming. - Daniel Bone; Chi-Chun Lee; Vikram Ramanarayanan; Shrikanth S. Narayanan; Renske S. Hoedemaker; Peter C. Gordon (INTERSPEECH, 2013)

Vocal tract cross-distance estimation from real-time MRI using region-of-interest analysis. - Adam C. Lammert; Vikram Ramanarayanan; Michael I. Proctor; Shrikanth S. Narayanan (INTERSPEECH, 2013)

Speaker verification based on fusion of acoustic and articulatory information. - Ming Li 026; Jangwon Kim; Prasanta Kumar Ghosh; Vikram Ramanarayanan; Shrikanth S. Narayanan (INTERSPEECH, 2013)

Articulatory settings facilitate mechanically advantageous motor control of vocal tract articulators. - Vikram Ramanarayanan; Adam C. Lammert; Louis Goldstein; Shrikanth S. Narayanan (INTERSPEECH, 2013)

A two-step technique for MRI audio enhancement using dictionary learning and wavelet packet analysis. - Colin Vaz; Vikram Ramanarayanan; Shrikanth S. Narayanan (INTERSPEECH, 2013)

The effect of word frequency and lexical class on articulatory-acoustic coupling. - Zhaojun Yang; Vikram Ramanarayanan; Dani Byrd; Shrikanth S. Narayanan (INTERSPEECH, 2013)

A real-time MRI study of articulatory setting in second language speech. - Andrés Benítez; Vikram Ramanarayanan; Louis Goldstein; Shrikanth S. Narayanan (INTERSPEECH, 2014)

Motor control primitives arising from a learned dynamical systems model of speech articulation. - Vikram Ramanarayanan; Louis Goldstein; Shrikanth S. Narayanan (INTERSPEECH, 2014)

Joint filtering and factorization for recovering latent structure from noisy speech data. - Colin Vaz; Vikram Ramanarayanan; Shrikanth S. Narayanan (INTERSPEECH, 2014)

Gestural Control in the English Past-Tense Suffix: An Articulatory Study Using Real-Time MRI. - Adam C. Lammert; Louis Goldstein; Vikram Ramanarayanan; Shrikanth S. Narayanan (Phonetica, 2014)

HALEF: An Open-Source Standard-Compliant Telephony-Based Modular Spoken Dialog System: A Review and An Outlook. - David Suendermann-Oeft; Vikram Ramanarayanan; Moritz Teckenbrock; Felix Neutatz; Dennis Schmidt (IWSDS, 2015)

Using bidirectional lstm recurrent neural networks to learn high-level abstractions of sequential features for automated scoring of non-native spontaneous speech. - Zhou Yu 005; Vikram Ramanarayanan; David Suendermann-Oeft; Xinhao Wang; Klaus Zechner; Lei Chen 004; Jidong Tao; Aliaksei Ivanou; Yao Qian (ASRU, 2015)

Evaluating Speech, Face, Emotion and Body Movement Time-series Features for Automated Multimodal Presentation Scoring. - Vikram Ramanarayanan; Chee Wee Leong; Lei Chen 004; Gary Feng; David Suendermann-Oeft (ICMI, 2015)

An analysis of time-aggregated and time-series features for scoring different aspects of multimodal presentation data. - Vikram Ramanarayanan; Lei Chen 004; Chee Wee Leong; Gary Feng; David Suendermann-Oeft (INTERSPEECH, 2015)

Experimental assessment of the tongue incompressibility hypothesis during speech production. - Zisis Iason Skordilis; Vikram Ramanarayanan; Louis Goldstein; Shrikanth S. Narayanan (INTERSPEECH, 2015)

Automated Speech Recognition Technology for Dialogue Interaction with Non-Native Interlocutors. - Alexei V. Ivanov; Vikram Ramanarayanan; David Suendermann-Oeft; Melissa Lopez; Keelan Evanini; Jidong Tao (SIGDIAL Conference, 2015)

A distributed cloud-based dialog system for conversational application development. - Vikram Ramanarayanan; David Suendermann-Oeft; Alexei V. Ivanov; Keelan Evanini (SIGDIAL Conference, 2015)

Novel features for capturing cooccurrence behavior in dyadic collaborative problem solving tasks. - Vikram Ramanarayanan; Saad Khan 003 (EDM, 2016)

Noise and Metadata Sensitive Bottleneck Features for Improving Speaker Recognition with Non-Native Speech Input. - Yao Qian; Jidong Tao; David Suendermann-Oeft; Keelan Evanini; Alexei V. Ivanov; Vikram Ramanarayanan (INTERSPEECH, 2016)

A New Model of Speech Motor Control Based on Task Dynamics and State Feedback. - Vikram Ramanarayanan; Benjamin Parrell; Louis Goldstein; Srikantan S. Nagarajan; John F. Houde (INTERSPEECH, 2016)

Multimodal HALEF: An Open-Source Modular Web-Based Multimodal Dialog Framework. - Zhou Yu 005; Vikram Ramanarayanan; Robert Mundkowsky; Patrick L. Lange; Alexei V. Ivanov; Alan W. Black; David Suendermann-Oeft (IWSDS, 2016)

Speaker verification based on the fusion of speech acoustics and inverted articulatory signals. - Ming Li 026; Jangwon Kim; Adam C. Lammert; Prasanta Kumar Ghosh; Vikram Ramanarayanan; Shrikanth S. Narayanan (Comput. Speech Lang., 2016)

Directly data-derived articulatory gesture-like representations retain discriminatory information about phone categories. - Vikram Ramanarayanan; Maarten Van Segbroeck; Shrikanth S. Narayanan (Comput. Speech Lang., 2016)

Crowdsourcing Multimodal Dialog Interactions: Lessons Learned from the HALEF Case. - Vikram Ramanarayanan; David Suendermann-Oeft; Hillary Molloy; Eugene Tsuprun; Patrick L. Lange; Keelan Evanini (AAAI Workshops, 2017)

Exploring ASR-free end-to-end modeling to improve spoken language understanding in a cloud-based dialog system. - Yao Qian; Rutuja Ubale; Vikram Ramanarayanan; Patrick L. Lange; David Suendermann-Oeft; Keelan Evanini; Eugene Tsuprun (ASRU, 2017)

A modular, multimodal open-source virtual interviewer dialog agent. - Kirby Cofino; Vikram Ramanarayanan; Patrick L. Lange; David Pautler; David Suendermann-Oeft; Keelan Evanini (ICMI, 2017)

Crowdsourcing ratings of caller engagement in thin-slice videos of human-machine dialog: benefits and pitfalls. - Vikram Ramanarayanan; Chee Wee Leong; David Suendermann-Oeft; Keelan Evanini (ICMI, 2017)

Human and Automated Scoring of Fluency, Pronunciation and Intonation During Human-Machine Spoken Dialog Interactions. - Vikram Ramanarayanan; Patrick L. Lange; Keelan Evanini; Hillary R. Molloy; David Suendermann-Oeft (INTERSPEECH, 2017)

Rushing to Judgement: How do Laypeople Rate Caller Engagement in Thin-Slice Videos of Human-Machine Dialog? - Vikram Ramanarayanan; Chee Wee Leong; David Suendermann-Oeft (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. - Vikram Ramanarayanan; David Suendermann-Oeft (INTERSPEECH, 2017)

Database of Volumetric and Real-Time Vocal Tract MRI for Speech Science. - Tanner Sorensen; Zisis Iason Skordilis; Asterios Toutios; Yoon-Chul Kim; Yinghua Zhu; Jangwon Kim; Adam C. Lammert; Vikram Ramanarayanan; Louis Goldstein; Dani Byrd; Krishna S. Nayak; Shrikanth S. Narayanan (INTERSPEECH, 2017)

An Open-Source Dialog System with Real-Time Engagement Tracking for Job Interview Training Applications. - Zhou Yu 005; Vikram Ramanarayanan; Patrick L. Lange; David Suendermann-Oeft (IWSDS, 2017)

Toward Automatically Measuring Learner Ability from Human-Machine Dialog Interactions using Novel Psychometric Models. - Vikram Ramanarayanan; Michelle LaMar (BEA@NAACL-HLT, 2018)

Improvements to an Automated Content Scoring System for Spoken CALL Responses: the ETS Submission to the Second Spoken CALL Shared Task. - Keelan Evanini; Matthew Mulholland; Rutuja Ubale; Yao Qian; Robert A. Pugh; Vikram Ramanarayanan; Aoife Cahill (INTERSPEECH, 2018)

Game-based Spoken Dialog Language Learning Applications for Young Students. - Keelan Evanini; Veronika Timpe-Laughlin; Eugene Tsuprun; Ian Blood; Jeremy Lee; James V. Bruno; Vikram Ramanarayanan; Patrick L. Lange; David Suendermann-Oeft (INTERSPEECH, 2018)

FACTS: A Hierarchical Task-based Control Model of Speech Incorporating Sensory Feedback. - Benjamin Parrell; Vikram Ramanarayanan; Srikantan S. Nagarajan; John F. Houde (INTERSPEECH, 2018)

Toward Scalable Dialog Technology for Conversational Language Learning: Case Study of the TOEFL® MOOC. - Vikram Ramanarayanan; David Pautler; Patrick L. Lange; Eugene Tsuprun; Rutuja Ubale; Keelan Evanini; David Suendermann-Oeft (INTERSPEECH, 2018)

Automatic Turn-Level Language Identification for Code-Switched Spanish-English Dialog. - Vikram Ramanarayanan; Robert Pugh; Yao Qian; David Suendermann-Oeft (IWSDS, 2018)

Leveraging Multimodal Dialog Technology for the Design of Automated and Interactive Student Agents for Teacher Training. - David Pautler; Vikram Ramanarayanan; Kirby Cofino; Patrick L. Lange; David Suendermann-Oeft (SIGDIAL Conference, 2018)

Automatic Token and Turn Level Language Identification for Code-Switched Text Dialog: An Analysis Across Language Pairs and Corpora. - Vikram Ramanarayanan; Robert Pugh (SIGDIAL Conference, 2018)

Analysis of speech production real-time MRI. - Vikram Ramanarayanan; Sam Tilsen; Michael I. Proctor; Johannes Töger; Louis Goldstein; Krishna S. Nayak; Shrikanth S. Narayanan (Comput. Speech Lang., 2018)

Acoustic Denoising Using Dictionary Learning With Spectral and Temporal Regularization. - Colin Vaz; Vikram Ramanarayanan; Shrikanth S. Narayanan (IEEE ACM Trans. Audio Speech Lang. Process., 2018)

Native Language Identification from Raw Waveforms Using Deep Convolutional Neural Networks with Attentive Pooling. - Rutuja Ubale; Vikram Ramanarayanan; Yao Qian; Keelan Evanini; Chee Wee Leong; Chong Min Lee (ASRU, 2019)

Are Humans Biased in Assessment of Video Interviews? - Chee Wee Leong; Katrina Roohr; Vikram Ramanarayanan; Michelle P. Martin-Raugh; Harrison Kell; Rutuja Ubale; Yao Qian; Zydrune Mladineo; Laura McCulla (ICMI (Adjunct), 2019)

Scoring Interactional Aspects of Human-Machine Dialog for Language Learning and Assessment using Text Features. - Vikram Ramanarayanan; Matthew Mulholland; Yao Qian (SIGdial, 2019)

To Trust, or Not to Trust? A Study of Human Bias in Automated Video Interview Assessments. - Chee Wee Leong; Katrina Roohr; Vikram Ramanarayanan; Michelle P. Martin-Raugh; Harrison Kell; Rutuja Ubale; Yao Qian; Zydrune Mladineo; Laura McCulla (CoRR, 2019)

The FACTS model of speech motor control: Fusing state estimation and task-based control. - Benjamin Parrell; Vikram Ramanarayanan; Srikantan S. Nagarajan; John F. Houde (PLoS Comput. Biol., 2019)

Effect of Modality on Human and Machine Scoring of Presentation Videos. - Haley Lepp; Chee Wee Leong; Katrina Roohr; Michelle P. Martin-Raugh; Vikram Ramanarayanan (ICMI, 2020)

Design and Development of a Human-Machine Dialog Corpus for the Automated Assessment of Conversational English Proficiency. - Vikram Ramanarayanan (INTERSPEECH, 2020)

Toward Remote Patient Monitoring of Speech, Video, Cognitive and Respiratory Biomarkers Using Multimodal Dialog Technology. - Vikram Ramanarayanan; Oliver Roesler; Michael Neumann; David Pautler; Doug Habberstad; Andrew Cornish; Hardik Kothare; Vignesh Murali; Jackson Liscombe; Dirk Schnelle-Walka; Patrick L. Lange; David Suendermann-Oeft (INTERSPEECH, 2020)

Exploring Recurrent, Memory and Attention Based Architectures for Scoring Interactional Aspects of Human-Machine Text Dialog. - Vikram Ramanarayanan; Matthew Mulholland; Debanjan Ghosh (CoRR, 2020)

Spoken Language Understanding of Human-Machine Conversations for Language Learning Applications. - Yao Qian; Rutuja Ubale; Patrick L. Lange; Keelan Evanini; Vikram Ramanarayanan; Frank K. Soong (J. Signal Process. Syst., 2020)

Conversational Agents in Language Education: Where They Fit and Their Research Challenges. - Rahul R. Divekar; Haley Lepp; Pravin Chopade; Aaron Albin; Daniel Brenner; Vikram Ramanarayanan (HCI (45), 2021)

Investigating the Interplay Between Affective, Phonatory and Motoric Subsystems in Autism Spectrum Disorder Using a Multimodal Dialogue Agent. - Hardik Kothare; Vikram Ramanarayanan; Oliver Roesler; Michael Neumann; Jackson Liscombe; William Burke; Andrew Cornish; Doug Habberstad; Alaa Sakallah; Sara Markuson; Seemran Kansara; Afik Faerman; et al. (Interspeech, 2021)

Investigating the Utility of Multimodal Conversational Technology and Audiovisual Analytic Measures for the Assessment and Monitoring of Amyotrophic Lateral Sclerosis at Scale. - Michael Neumann; Oliver Roesler; Jackson Liscombe; Hardik Kothare; David Suendermann-Oeft; David Pautler; Indu Navar; Aria Anvar; Jochen Kumm; Raquel Norel; Ernest Fraenkel; Alexander V. Sherman; et al. (Interspeech, 2021)

Speech, Facial and Fine Motor Features for Conversation-Based Remote Assessment and Monitoring of Parkinson's Disease. - Hardik Kothare; Oliver Roesler; William Burke; Michael Neumann; Jackson Liscombe; Andrew Exner; Sandy Snyder; Andrew Cornish; Doug Habberstad; David Pautler; David Suendermann-Oeft; Jessica Huber; et al. (EMBC, 2022)

Towards Multimodal Dialog-Based Speech & Facial Biomarkers of Schizophrenia. - Vanessa Richter; Michael Neumann; Hardik Kothare; Oliver Roesler; Jackson Liscombe; David Suendermann-Oeft; Sebastian Prokop; Anzalee Khan; Christian Yavorsky; Jean-Pierre Lindenmayer; Vikram Ramanarayanan (ICMI Companion, 2022)

Exploring Facial Metric Normalization For Within- and Between-Subject Comparisons in a Multimodal Health Monitoring Agent. - Oliver Roesler; Hardik Kothare; William Burke; Michael Neumann; Jackson Liscombe; Andrew Cornish; Doug Habberstad; David Pautler; David Suendermann-Oeft; Vikram Ramanarayanan (ICMI Companion, 2022)

Statistical and clinical utility of multimodal dialogue-based speech and facial metrics for Parkinson's disease assessment. - Hardik Kothare; Michael Neumann; Jackson Liscombe; Oliver Roesler; William Burke; Andrew Exner; Sandy Snyder; Andrew Cornish; Doug Habberstad; David Pautler; David Suendermann-Oeft; Jessica Huber; et al. (INTERSPEECH, 2022)

Responsiveness, Sensitivity and Clinical Utility of Timing-Related Speech Biomarkers for Remote Monitoring of ALS Disease Progression. - Hardik Kothare; Michael Neumann; Jackson Liscombe; Jordan R. Green; Vikram Ramanarayanan (INTERSPEECH, 2023)

A Multimodal Investigation of Speech, Text, Cognitive and Facial Video Features for Characterizing Depression With and Without Medication. - Michael Neumann; Hardik Kothare; Doug Habberstad; Vikram Ramanarayanan (INTERSPEECH, 2023)

Combining Multiple Multimodal Speech Features into an Interpretable Index Score for Capturing Disease Progression in Amyotrophic Lateral Sclerosis. - Michael Neumann; Hardik Kothare; Vikram Ramanarayanan (INTERSPEECH, 2023)

When Words Speak Just as Loudly as Actions: Virtual Agent Based Remote Health Assessment Integrating What Patients Say with What They Do. - Vikram Ramanarayanan; David Pautler; Lakshmi Arbatti; Abhishek Hosamath; Michael Neumann; Hardik Kothare; Oliver Roesler; Jackson Liscombe; Andrew Cornish; Doug Habberstad; Vanessa Richter; David Fox; et al. (INTERSPEECH, 2023)

Remote Assessment for ALS using Multimodal Dialog Agents: Data Quality, Feasibility and Task Compliance. - Vanessa Richter; Michael Neumann; Jordan R. Green; Brian Richburg; Oliver Roesler; Hardik Kothare; Vikram Ramanarayanan (INTERSPEECH, 2023)

What Do Patients Say About Their Disease Symptoms? Deep Multilabel Text Classification With Human-in-the-Loop Curation for Automatic Labeling of Patient Self Reports of Problems. - Lakshmi Arbatti; Abhishek Hosamath; Vikram Ramanarayanan; Ira Shoulson (CoRR, 2023)

Mechanisms of sensorimotor adaptation in a hierarchical state feedback control model of speech. - Kwang S. Kim; Jessica L. Gaines; Benjamin Parrell; Vikram Ramanarayanan; Srikantan S. Nagarajan; John F. Houde (PLoS Comput. Biol., 2023)

Towards remote differential diagnosis of mental and neurological disorders using automatically extracted speech and facial features. - Vanessa Richter; Michael Neumann; Vikram Ramanarayanan (ML4CMH@AAAI, 2024)

Preliminary Investigation of Psychometric Properties of a Novel Multimodal Dialog Based Affect Production Task in Children and Adolescents with Autism. - Carly Demopoulos; Linnea Lampinen; Cristian Preciado; Hardik Kothare; Vikram Ramanarayanan (INTERSPEECH, 2024)

How Consistent are Speech-Based Biomarkers in Remote Tracking of ALS Disease Progression Across Languages? A Case Study of English and Dutch. - Hardik Kothare; Michael Neumann; Cathy Zhang; Jackson Liscombe; Jordi W. J. van Unnik; Lianne C. M. Botman; Leonard H. van den Berg; Ruben P. A van Eijk; Vikram Ramanarayanan (INTERSPEECH, 2024)

Multimodal Digital Biomarkers for Longitudinal Tracking of Speech Impairment Severity in ALS: An Investigation of Clinically Important Differences. - Michael Neumann; Hardik Kothare; Jackson Liscombe; Emma C. L. Leschly; Oliver Roesler; Vikram Ramanarayanan (INTERSPEECH, 2024)

Towards Scalable Remote Assessment of Mild Cognitive Impairment Via Multimodal Dialog. - Oliver Roesler; Jackson Liscombe; Michael Neumann; Hardik Kothare; Abhishek Hosamath; Lakshmi Arbatti; Doug Habberstad; Christiane Suendermann-Oeft; Meredith Bartlett; Cathy Zhang; Nikhil Sukhdev; Kolja Wilms; et al. (INTERSPEECH, 2024)

Multimodal speech biomarkers for remote monitoring of ALS disease progression. - Michael Neumann; Hardik Kothare; Vikram Ramanarayanan (Comput. Biol. Medicine, 2024)

Bayesian inference of state feedback control parameters for fo perturbation responses in cerebellar ataxia. - Jessica L. Gaines; Kwang S. Kim; Benjamin Parrell; Vikram Ramanarayanan; Alvincé L. Pongos; Srikantan S. Nagarajan; John F. Houde (PLoS Comput. Biol., 2024)