Systematic review of advanced AI methods for improving healthcare data quality in post COVID-19 Era

M Isgut, L Gloster, K Choi… - IEEE Reviews in …, 2022 - ieeexplore.ieee.org
At the beginning of the COVID-19 pandemic, there was significant hype about the potential
impact of artificial intelligence (AI) tools in combatting COVID-19 on diagnosis, prognosis, or …

Acoustic-based machine condition monitoring—methods and challenges

G Jombo, Y Zhang - Eng, 2023 - mdpi.com
The traditional means of monitoring the health of industrial systems involves the use of
vibration and performance monitoring techniques amongst others. In these approaches …

Isnet: Individual standardization network for speech emotion recognition

W Fan, X Xu, B Cai, X Xing - IEEE/ACM Transactions on Audio …, 2022 - ieeexplore.ieee.org
Speech emotion recognition plays an essential role in human-computer interaction.
However, cross-individual representation learning and individual-agnostic systems are …

1D-CNN: Speech Emotion Recognition System Using a Stacked Network with Dilated CNN Features.

S Kwon - Computers, Materials & Continua, 2021 - search.ebscohost.com
Emotion recognition from speech data is an active and emerging area of research that plays
an important role in numerous applications, such as robotics, virtual reality, behavior …

mmspy: Spying phone calls using mmwave radars

S Basak, M Gowda - 2022 IEEE Symposium on Security and …, 2022 - ieeexplore.ieee.org
This paper presents a system mmSpy that shows the feasibility of eavesdropping phone
calls remotely. Towards this end, mmSpy performs sensing of earpiece vibrations using an …

Combining statistical models using modified spectral subtraction method for embedded system

VR Balaji, S Maheswaran, MR Babu… - Microprocessors and …, 2020 - Elsevier
Speech enhancement aims at improving the overall speech signal perceptual quality using
different audio signal processing techniques. Filtering techniques, spectral restoration and …

I spy you: Eavesdropping continuous speech on smartphones via motion sensors

S Zhang, Y Liu, M Gowda - Proceedings of the ACM on Interactive …, 2023 - dl.acm.org
This paper presents iSpyU, a system that shows the feasibility of recognition of natural
speech content played on a phone during conference calls (Skype, Zoom, etc) using a …

Lamphone: Real-time passive sound recovery from light bulb vibrations

B Nassi, Y Pirutin, A Shamir, Y Elovici… - Cryptology ePrint …, 2020 - eprint.iacr.org
Recent studies have suggested various side-channel attacks for eavesdropping sound by
analyzing the side effects of sound waves on nearby objects (eg, a bag of chips and …

LSSED: a large-scale dataset and benchmark for speech emotion recognition

W Fan, X Xu, X Xing, W Chen… - ICASSP 2021-2021 IEEE …, 2021 - ieeexplore.ieee.org
Speech emotion recognition is a vital contributor to the next generation of human-computer
interaction (HCI). However, current existing small-scale databases have limited the …

Real-time multi-modal human–robot collaboration using gestures and speech

H Chen, MC Leu, Z Yin - Journal of …, 2022 - asmedigitalcollection.asme.org
As artificial intelligence and industrial automation are developing, human–robot
collaboration (HRC) with advanced interaction capabilities has become an increasingly …