Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Shrikanth Narayanan

Showing results (11-20 of 157) with videos related to

Pageof 16
Sort By:
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 5, 2025
Understanding Stress, Burnout, and Behavioral Patterns in Medical Residents Using Large-scale Longitudinal Wearable RecordingsTiantian Feng, Shrikanth Narayanan
IEEE Transactions on Audio, Speech, and Language Processing|January 20, 2010
Prominence Detection Using Auditory Attention Cues and Task-Dependent High Level InformationOzlem Kalinli, Shrikanth Narayanan
Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing. ICASSP (Conference)|January 10, 2009
A NOVEL ALGORITHM FOR UNSUPERVISED PROSODIC LANGUAGE MODEL ADAPTATIONSankaranarayanan Ananthakrishnan, Shrikanth Narayanan
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 18, 2020
Imputing Missing Data In Large-Scale Multivariate Biomedical Wearable Recordings Using Bidirectional Recurrent Neural Networks With Temporal Activation RegularizationTiantian Feng, Shrikanth Narayanan
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
Modeling Human Movement Behavior Among Nursing ProfessionTiantian Feng, Shrikanth Narayanan
Phonetica|February 13, 2018
Explaining Coronal Reduction: Prosodic Structure and Articulatory PostureBenjamin Parrell, Shrikanth Narayanan
IEEE Journal of Biomedical and Health Informatics|June 17, 2026
Task-Preserving EEG Anonymization Using Latent Feature MaskingNicholas Mehlman, Shrikanth Narayanan
The Journal of the Acoustical Society of America|October 7, 2011
Automatic speech recognition using articulatory features from subject-independent acoustic-to-articulatory inversionPrasanta Kumar Ghosh, Shrikanth Narayanan
The Journal of the Acoustical Society of America|October 26, 2010
A generalized smoothness criterion for acoustic-to-articulatory inversionPrasanta Kumar Ghosh, Shrikanth Narayanan
Proceedings of the IEEE. Institute of Electrical and Electronics Engineers|September 17, 2013
Behavioral Signal Processing: Deriving Human Behavioral Informatics From Speech and Language: Computational techniques are presented to analyze and model expressed and perceived human behavior-variedly characterized as typical, atypical, distressed, and disordered-from speech and language cues and their applications in health, commerce, education, and beyondShrikanth Narayanan, Panayiotis G Georgiou
Pageof 16

Showing results (11-20 of 157) with videos related to

Sort By:
Pageof 16
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 5, 2025
Understanding Stress, Burnout, and Behavioral Patterns in Medical Residents Using Large-scale Longitudinal Wearable RecordingsTiantian Feng, Shrikanth Narayanan
IEEE Transactions on Audio, Speech, and Language Processing|January 20, 2010
Prominence Detection Using Auditory Attention Cues and Task-Dependent High Level InformationOzlem Kalinli, Shrikanth Narayanan
Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing. ICASSP (Conference)|January 10, 2009
A NOVEL ALGORITHM FOR UNSUPERVISED PROSODIC LANGUAGE MODEL ADAPTATIONSankaranarayanan Ananthakrishnan, Shrikanth Narayanan
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 18, 2020
Imputing Missing Data In Large-Scale Multivariate Biomedical Wearable Recordings Using Bidirectional Recurrent Neural Networks With Temporal Activation RegularizationTiantian Feng, Shrikanth Narayanan
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
Modeling Human Movement Behavior Among Nursing ProfessionTiantian Feng, Shrikanth Narayanan
Phonetica|February 13, 2018
Explaining Coronal Reduction: Prosodic Structure and Articulatory PostureBenjamin Parrell, Shrikanth Narayanan
IEEE Journal of Biomedical and Health Informatics|June 17, 2026
Task-Preserving EEG Anonymization Using Latent Feature MaskingNicholas Mehlman, Shrikanth Narayanan
The Journal of the Acoustical Society of America|October 7, 2011
Automatic speech recognition using articulatory features from subject-independent acoustic-to-articulatory inversionPrasanta Kumar Ghosh, Shrikanth Narayanan
The Journal of the Acoustical Society of America|October 26, 2010
A generalized smoothness criterion for acoustic-to-articulatory inversionPrasanta Kumar Ghosh, Shrikanth Narayanan
Proceedings of the IEEE. Institute of Electrical and Electronics Engineers|September 17, 2013
Behavioral Signal Processing: Deriving Human Behavioral Informatics From Speech and Language: Computational techniques are presented to analyze and model expressed and perceived human behavior-variedly characterized as typical, atypical, distressed, and disordered-from speech and language cues and their applications in health, commerce, education, and beyondShrikanth Narayanan, Panayiotis G Georgiou
Pageof 16