Vikram Ramanarayanan

发表

Simulated speaking environments for language learning: insights from three cases

T. Sydorenko, T. Smits, Keelan Evanini, 2019 .

An analysis of time-aggregated and time-series features for scoring different aspects of multimodal presentation data

David Suendermann-Oeft, Vikram Ramanarayanan, Chee Wee Leong, 2015, INTERSPEECH.

Beyond acoustic data: Characterizing disordered speech using direct articulatory evidence from real time imaging.

Shrikanth Narayanan, Shrikanth S. Narayanan, Vikram Ramanarayanan, 2009 .

Noise and Metadata Sensitive Bottleneck Features for Improving Speaker Recognition with Non-Native Speech Input

David Suendermann-Oeft, Vikram Ramanarayanan, Keelan Evanini, 2016, INTERSPEECH.

Automatic Feedback Generation for Dialog-Based Language Tutors Using Transformer Models and Active Learning

Vikram Ramanarayanan, Katherine Stasaski, 2021 .

Towards Multimodal Dialog-Based Speech & Facial Biomarkers of Schizophrenia

Vikram Ramanarayanan, Jackson Liscombe, J. Lindenmayer, 2022, ICMI Companion.

Statistical and clinical utility of multimodal dialogue-based speech and facial metrics for Parkinson's disease assessment

Jessica E. Huber, D. Pautler, Vikram Ramanarayanan, 2022, INTERSPEECH.

Gestural Control in the English Past-Tense Suffix: An Articulatory Study Using Real-Time MRI

Shrikanth S. Narayanan, Vikram Ramanarayanan, Louis Goldstein, 2015, Phonetica.

Real-time magnetic resonance imaging and electromagnetic articulography database for speech production research (TC).

Shrikanth Narayanan, Athanasios Katsamanis, Shrikanth S. Narayanan, 2014, The Journal of the Acoustical Society of America.

Vocal tract cross-distance estimation from real-time MRI using region-of-interest analysis

Shrikanth S. Narayanan, Vikram Ramanarayanan, Adam C. Lammert, 2013, INTERSPEECH.

Analysis of speech production real-time MRI

Shrikanth S. Narayanan, Vikram Ramanarayanan, Louis Goldstein, 2018, Comput. Speech Lang..

Using bidirectional lstm recurrent neural networks to learn high-level abstractions of sequential features for automated scoring of non-native spontaneous speech

Klaus Zechner, David Suendermann-Oeft, Vikram Ramanarayanan, 2015, 2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU).

A Multimodal Real-Time MRI Articulatory Corpus for Speech Research

Athanasios Katsamanis, Yoon Kim, Shrikanth S. Narayanan, 2011, INTERSPEECH.

Experimental assessment of the tongue incompressibility hypothesis during speech production

Shrikanth S. Narayanan, Vikram Ramanarayanan, Louis Goldstein, 2015, INTERSPEECH.

FACTS: A Hierarchical Task-based Control Model of Speech Incorporating Sensory Feedback

Vikram Ramanarayanan, Srikantan S. Nagarajan, Benjamin Parrell, 2018, INTERSPEECH.

A real-time MRI study of articulatory setting in second language speech

Shrikanth S. Narayanan, Vikram Ramanarayanan, Louis Goldstein, 2014, INTERSPEECH.

Exploring Facial Metric Normalization For Within- and Between-Subject Comparisons in a Multimodal Health Monitoring Agent

D. Pautler, Vikram Ramanarayanan, Jackson Liscombe, 2022, ICMI Companion.

Exploring ASR-free end-to-end modeling to improve spoken language understanding in a cloud-based dialog system

David Suendermann-Oeft, Vikram Ramanarayanan, Keelan Evanini, 2017, 2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU).

Evaluating Speech, Face, Emotion and Body Movement Time-series Features for Automated Multimodal Presentation Scoring

David Suendermann-Oeft, Vikram Ramanarayanan, Chee Wee Leong, 2015, ICMI.

Speaker verification based on the fusion of speech acoustics and inverted articulatory signals

Shrikanth S. Narayanan, Prasanta Kumar Ghosh, Vikram Ramanarayanan, 2016, Comput. Speech Lang..

Speaker verification based on fusion of acoustic and articulatory information

Shrikanth S. Narayanan, Prasanta Kumar Ghosh, Vikram Ramanarayanan, 2013, INTERSPEECH.

Automatic Turn-Level Language Identification for Code-Switched Spanish-English Dialog

David Suendermann-Oeft, Vikram Ramanarayanan, Yao Qian, 2018, IWSDS.

Human and Automated Scoring of Fluency, Pronunciation and Intonation During Human-Machine Spoken Dialog Interactions

David Suendermann-Oeft, Vikram Ramanarayanan, Keelan Evanini, 2017, INTERSPEECH.

Investigating the Utility of Multimodal Conversational Technology and Audiovisual Analytic Measures for the Assessment and Monitoring of Amyotrophic Lateral Sclerosis at Scale pdf

David Pautler, David Suendermann-Oeft, Vikram Ramanarayanan, 2021, Interspeech.

The effect of word frequency and lexical class on articulatory-acoustic coupling

Shrikanth S. Narayanan, Vikram Ramanarayanan, Dani Byrd, 2013, INTERSPEECH.

Speed vs . Accuracy : Designing an Optimal ASR System for Spontaneous Non-Native Speech in a Real-Time Application

Zhou Yu, Vikram Ramanarayanan, Jidong Tao, 2015 .

Assembling the Jigsaw: How Multiple Open Standards Are Synergistically Combined in the HALEF Multimodal Dialog System

David Suendermann-Oeft, Vikram Ramanarayanan, Keelan Evanini, 2017 .

HALEF: An Open-Source Standard-Compliant Telephony-Based Modular Spoken Dialog System: A Review and An Outlook

David Suendermann-Oeft, Vikram Ramanarayanan, Felix Neutatz, 2015, IWSDS.

Investigating the Interplay Between Affective, Phonatory and Motoric Subsystems in Autism Spectrum Disorder Using a Multimodal Dialogue Agent

D. Pautler, Vikram Ramanarayanan, Jackson Liscombe, 2021, bioRxiv.

Combining Multiple Multimodal Speech Features into an Interpretable Index Score for Capturing Disease Progression in Amyotrophic Lateral Sclerosis

Vikram Ramanarayanan, Hardik Kothare, Michael Neumann, 2023, INTERSPEECH.

Exploring Recurrent, Memory and Attention Based Architectures for Scoring Interactional Aspects of Human-Machine Text Dialog pdf

Debanjan Ghosh, Vikram Ramanarayanan, Matthew Mulholland, 2020, ArXiv.

A multimodal dialog approach to mental state characterization in clinically depressed, anxious, and suicidal populations

Vikram Ramanarayanan, Michael Neumann, Allie Haq, 2023, Frontiers in psychology.

Novel features for capturing cooccurrence behavior in dyadic collaborative problem solving tasks

Vikram Ramanarayanan, Saad Khan, Vikram Ramanarayanan, 2016, EDM.

Conversational Agents in Language Education: Where They Fit and Their Research Challenges

Aaron Albin, Vikram Ramanarayanan, Rahul R. Divekar, 2021, HCI.

Database of Volumetric and Real-Time Vocal Tract MRI for Speech Science

Shrikanth S. Narayanan, Vikram Ramanarayanan, Dani Byrd, 2017, INTERSPEECH.

Real-time magnetic resonance imaging and electromagnetic articulography database for speech production research (TC).

Shrikanth S. Narayanan, K. Nayak, L. Goldstein, 2014, The Journal of the Acoustical Society of America.

A New Model of Speech Motor Control Based on Task Dynamics and State Feedback

Vikram Ramanarayanan, Louis Goldstein, Srikantan S. Nagarajan, 2016, INTERSPEECH.

Speaker verification based on the fusion of speech acoustics and inverted articulatory signals

Shrikanth S. Narayanan, Jangwon Kim, A. Lammert, 2016, Comput. Speech Lang..

Towards remote differential diagnosis of mental and neurological disorders using automatically extracted speech and facial features

Vikram Ramanarayanan, Michael Neumann, Vanessa Richter, 2024, ML4CMH@AAAI.

When Words Speak Just as Loudly as Actions: Virtual Agent Based Remote Health Assessment Integrating What Patients Say with What They Do

D. Pautler, Vikram Ramanarayanan, Oliver Roesler, 2023, INTERSPEECH.

Motor control primitives arising from a learned dynamical systems model of speech articulation

Shrikanth S. Narayanan, Vikram Ramanarayanan, Louis Goldstein, 2014, INTERSPEECH.