Gautam Shreedhar Bhat
Orcid: 0000-0002-5510-6385
According to our database1,
Gautam Shreedhar Bhat
authored at least 13 papers
between 2017 and 2022.
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Bibliography
2022
2021
IEEE Access, 2021
2020
Design and Integration of Alert Signal Detector and Separator for Hearing Aid Applications.
IEEE Access, 2020
Real-Time Single-Channel Deep Neural Network-Based Speech Enhancement on Edge Devices.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020
Real-time dual-channel speech enhancement by VAD assisted MVDR beamformer for hearing aid applications using smartphone.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
Automated machine learning based speech classification for hearing aid applications and its real-time implementation on smartphone.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
2019
A Real-Time Convolutional Neural Network Based Speech Enhancement for Hearing Impaired Listeners Using Smartphone.
IEEE Access, 2019
2018
A Computationally Efficient and Practically Feasible Two Microphones Blind Speech Separation Method.
CoRR, 2018
Influence of MVDR beamformer on a Speech Enhancement based Smartphone application for Hearing Aids.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
Smartphone based real-time super Gaussian single microphone Speech Enhancement to improve intelligibility for hearing aid users using formant information.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
2017
An Individualized Super-Gaussian Single Microphone Speech Enhancement for Hearing Aid Users With Smartphone as an Assistive Device.
IEEE Signal Process. Lett., 2017
Robust real-time sound pressure level stabilizer for multi-channel hearing aids compression for dynamically changing acoustic environment.
Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017