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

Nikhil Shankar

Showing results (1-10 of 14) with videos related to

Pageof 2
Sort By:
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
Real-time dual-channel speech enhancement by VAD assisted MVDR beamformer for hearing aid applications using smartphoneNikhil Shankar, Gautam Shreedhar Bhat, Issa M S Panahi
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
Automated machine learning based speech classification for hearing aid applications and its real-time implementation on smartphoneGautam Shreedhar Bhat, Nikhil Shankar, Issa M S Panahi
The Journal of the Acoustical Society of America|August 6, 2020
Efficient two-microphone speech enhancement using basic recurrent neural network cell for hearing and hearing aidsNikhil Shankar, Gautam Shreedhar Bhat, Issa M S Panahi
IEEE Access : Practical Innovations, Open Solutions|August 15, 2020
Design and Integration of Alert Signal Detector and Separator for Hearing Aid ApplicationsGautam Shreedhar Bhat, Nikhil Shankar, Issa M S Panahi
Interspeech|April 26, 2021
Real-time single-channel deep neural network-based speech enhancement on edge devicesNikhil Shankar, Gautam Shreedhar Bhat, Issa M S Panahi
Proceedings of Meetings on Acoustics. Acoustical Society of America|October 2, 2020
A Computationally efficient IVA-based Blind Source Separation for Hearing Aid Applications and its Real-time Implementation on SmartphoneGautam Shredhar Bhat, Chanan Karadagur Ananda Reddy, Nikhil Shankar, et al.
Cureus|July 29, 2024
A Rare Pituitary TumorRamya Bhat, Nikhil Shankar, Chirag Lu, et al.
IEEE Access : Practical Innovations, Open Solutions|July 15, 2020
A Real-Time Convolutional Neural Network Based Speech Enhancement for Hearing Impaired Listeners Using SmartphoneGautam S Bhat, Nikhil Shankar, Chandan K A Reddy, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 17, 2018
Smartphone based real-time super Gaussian single microphone Speech Enhancement to improve intelligibility for hearing aid users using formant informationGautam S Bhat, Chandan K A Reddy, Nikhil Shankar, et al.
IEEE Signal Processing Letters|January 23, 2018
An individualized super-Gaussian single microphone Speech Enhancement for hearing aid users with smartphone as an assistive deviceChandan K A Reddy, Nikhil Shankar, Gautam S Bhat, et al.
Pageof 2

Showing results (1-10 of 14) with videos related to

Sort By:
Pageof 2
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
Real-time dual-channel speech enhancement by VAD assisted MVDR beamformer for hearing aid applications using smartphoneNikhil Shankar, Gautam Shreedhar Bhat, Issa M S Panahi
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
Automated machine learning based speech classification for hearing aid applications and its real-time implementation on smartphoneGautam Shreedhar Bhat, Nikhil Shankar, Issa M S Panahi
The Journal of the Acoustical Society of America|August 6, 2020
Efficient two-microphone speech enhancement using basic recurrent neural network cell for hearing and hearing aidsNikhil Shankar, Gautam Shreedhar Bhat, Issa M S Panahi
IEEE Access : Practical Innovations, Open Solutions|August 15, 2020
Design and Integration of Alert Signal Detector and Separator for Hearing Aid ApplicationsGautam Shreedhar Bhat, Nikhil Shankar, Issa M S Panahi
Interspeech|April 26, 2021
Real-time single-channel deep neural network-based speech enhancement on edge devicesNikhil Shankar, Gautam Shreedhar Bhat, Issa M S Panahi
Proceedings of Meetings on Acoustics. Acoustical Society of America|October 2, 2020
A Computationally efficient IVA-based Blind Source Separation for Hearing Aid Applications and its Real-time Implementation on SmartphoneGautam Shredhar Bhat, Chanan Karadagur Ananda Reddy, Nikhil Shankar, et al.
Cureus|July 29, 2024
A Rare Pituitary TumorRamya Bhat, Nikhil Shankar, Chirag Lu, et al.
IEEE Access : Practical Innovations, Open Solutions|July 15, 2020
A Real-Time Convolutional Neural Network Based Speech Enhancement for Hearing Impaired Listeners Using SmartphoneGautam S Bhat, Nikhil Shankar, Chandan K A Reddy, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 17, 2018
Smartphone based real-time super Gaussian single microphone Speech Enhancement to improve intelligibility for hearing aid users using formant informationGautam S Bhat, Chandan K A Reddy, Nikhil Shankar, et al.
IEEE Signal Processing Letters|January 23, 2018
An individualized super-Gaussian single microphone Speech Enhancement for hearing aid users with smartphone as an assistive deviceChandan K A Reddy, Nikhil Shankar, Gautam S Bhat, et al.
Pageof 2