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Vikram Ramanarayanan

Showing results (1-10 of 26) with videos related to

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Journal of Speech, Language, and Hearing Research : JSLHR|July 10, 2024
Multimodal Technologies for Remote Assessment of Neurological and Mental HealthVikram Ramanarayanan
Medrxiv : the Preprint Server for Health Sciences|July 9, 2024
Multimodal Speech Biomarkers for Remote Monitoring of ALS Disease ProgressionMichael Neumann, Hardik Kothare, Vikram Ramanarayanan
Computers in Biology and Medicine|August 10, 2024
Multimodal speech biomarkers for remote monitoring of ALS disease progressionMichael Neumann, Hardik Kothare, Vikram Ramanarayanan
Interspeech|July 15, 2024
Combining Multiple Multimodal Speech Features into an Interpretable Index Score for Capturing Disease Progression in Amyotrophic Lateral SclerosisMichael Neumann, Hardik Kothare, Vikram Ramanarayanan
IEEE/ACM Transactions on Audio, Speech, and Language Processing|October 2, 2018
Acoustic Denoising using Dictionary Learning with Spectral and Temporal RegularizationColin Vaz, Vikram Ramanarayanan, Shrikanth Narayanan
The Journal of the Acoustical Society of America|August 10, 2013
Spatio-temporal articulatory movement primitives during speech production: extraction, interpretation, and validationVikram Ramanarayanan, Louis Goldstein, Shrikanth S Narayanan
Plos Computational Biology|September 4, 2019
The FACTS model of speech motor control: Fusing state estimation and task-based controlBenjamin Parrell, Vikram Ramanarayanan, Srikantan Nagarajan, et al.
Plos One|August 19, 2014
Are articulatory settings mechanically advantageous for speech motor control?Vikram Ramanarayanan, Adam Lammert, Louis Goldstein, et al.
Computer Speech & Language|December 22, 2015
Directly data-derived articulatory gesture-like representations retain discriminatory information about phone categoriesVikram Ramanarayanan, Maarten Van Segbroeck, Shrikanth S Narayanan
Phonetica|May 23, 2015
Gestural Control in the English Past-Tense Suffix: An Articulatory Study Using Real-Time MRIAdam Lammert, Louis Goldstein, Vikram Ramanarayanan, et al.
Pageof 3

Showing results (1-10 of 26) with videos related to

Sort By:
Pageof 3
Journal of Speech, Language, and Hearing Research : JSLHR|July 10, 2024
Multimodal Technologies for Remote Assessment of Neurological and Mental HealthVikram Ramanarayanan
Medrxiv : the Preprint Server for Health Sciences|July 9, 2024
Multimodal Speech Biomarkers for Remote Monitoring of ALS Disease ProgressionMichael Neumann, Hardik Kothare, Vikram Ramanarayanan
Computers in Biology and Medicine|August 10, 2024
Multimodal speech biomarkers for remote monitoring of ALS disease progressionMichael Neumann, Hardik Kothare, Vikram Ramanarayanan
Interspeech|July 15, 2024
Combining Multiple Multimodal Speech Features into an Interpretable Index Score for Capturing Disease Progression in Amyotrophic Lateral SclerosisMichael Neumann, Hardik Kothare, Vikram Ramanarayanan
IEEE/ACM Transactions on Audio, Speech, and Language Processing|October 2, 2018
Acoustic Denoising using Dictionary Learning with Spectral and Temporal RegularizationColin Vaz, Vikram Ramanarayanan, Shrikanth Narayanan
The Journal of the Acoustical Society of America|August 10, 2013
Spatio-temporal articulatory movement primitives during speech production: extraction, interpretation, and validationVikram Ramanarayanan, Louis Goldstein, Shrikanth S Narayanan
Plos Computational Biology|September 4, 2019
The FACTS model of speech motor control: Fusing state estimation and task-based controlBenjamin Parrell, Vikram Ramanarayanan, Srikantan Nagarajan, et al.
Plos One|August 19, 2014
Are articulatory settings mechanically advantageous for speech motor control?Vikram Ramanarayanan, Adam Lammert, Louis Goldstein, et al.
Computer Speech & Language|December 22, 2015
Directly data-derived articulatory gesture-like representations retain discriminatory information about phone categoriesVikram Ramanarayanan, Maarten Van Segbroeck, Shrikanth S Narayanan
Phonetica|May 23, 2015
Gestural Control in the English Past-Tense Suffix: An Articulatory Study Using Real-Time MRIAdam Lammert, Louis Goldstein, Vikram Ramanarayanan, et al.
Pageof 3