Biosignal sensors and deep learning-based speech recognition: A review

W Lee, JJ Seong, B Ozlu, BS Shim, A Marakhimov… - Sensors, 2021 - mdpi.com
Voice is one of the essential mechanisms for communicating and expressing one's
intentions as a human being. There are several causes of voice inability, including disease …

A deep neural network-based permanent magnet localization for tongue tracking

N Sebkhi, N Sahadat, S Hersek, A Bhavsar… - IEEE Sensors …, 2019 - ieeexplore.ieee.org
Permanent magnet localization (PML) is a nascent method of wireless motion tracking that
can estimate the 5D state (3D position and 2D orientation) of a cylindrical magnet from its …

Multi-modal co-learning for silent speech recognition based on ultrasound tongue images

M Guo, J Wei, R Zhang, Y Zhao, Q Fang - Speech Communication, 2024 - Elsevier
Silent speech recognition (SSR) is an essential task in human–computer interaction, aiming
to recognize speech from non-acoustic modalities. A key challenge in SSR is inherent input …

Evaluation of a wireless tongue tracking system on the identification of phoneme landmarks

N Sebkhi, N Santus, A Bhavsar… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
Objective: Evaluate the accuracy of a tongue tracking system based on the localization of a
permanent magnet to generate a baseline of phoneme landmarks. The positional variability …

An Overview of Automatic Speech Recognition Based on Deep Learning and Bio–Signal Sensors

N Venkatesh, KS Krishna, MP Geetha, MR Dave… - … Conference on Data …, 2023 - Springer
The process of producing speech is complex and includes a number of biosignals in
addition to acoustics. In order to overcome the limitations of conventional speech processing …