Yoonyoung Chung

Orcid: 0000-0001-8348-7042

According to our database1, Yoonyoung Chung authored at least 13 papers between 2020 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of five.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
TAPS: Throat and Acoustic Paired Speech Dataset for Deep Learning-Based Speech Enhancement.
CoRR, February, 2025

Multimodal deep ensemble classification system with wearable vibration sensor for detecting throat-related events.
npj Digit. Medicine, 2025

2024
First Observation of Time Exponent Variations under Positive bias Stress on a-IGZO Transistors Utilizing Ultrafast On-the-Fly Technique with 1 μs Delay.
Proceedings of the IEEE Symposium on VLSI Technology and Circuits 2024, 2024

Speech Enhancement in Extremely Noisy Environments Based on Time-Frequency Harmonic Mask with Throat Microphone.
Proceedings of the 2024 IEEE SENSORS, Kobe, Japan, October 20-23, 2024, 2024

A Wearable System for Monitoring Neurological Disorder Events with Multi-Class Classification Model in Daily Life.
Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024

2022
Hierarchically Structured Flexible Electrode on Polyimide for Highly Sensitive and Reliable Biosignal Acquisition.
IEEE Access, 2022

2T Neuromorphic Device based on oxide semiconductor with High Linearity and Symmetry for High-Precision Training.
Proceedings of the 19th International SoC Design Conference, 2022

Ultra-Low-Power Wearable Vibration Sensor with Highly Accurate Embedded Classifier.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021
Study on Optimal Position and Covering Pressure of Wearable Neck Microphone for Continuous Voice Monitoring.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

A Wearable System for Heart Rate Recovery Evaluation with Real-Time Classification on Exercise Condition.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020
Ultra-Low Power Wearable Infant Sleep Position Sensor.
Sensors, 2020

Non-Invasive Quantitative Muscle Fatigue Estimation Based on Correlation Between sEMG Signal and Muscle Mass.
IEEE Access, 2020

Quantitative Muscle Fatigue Estimation with High SNR Flexible Skin Electrode.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020


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