Kuo-Hsuan Hung

Orcid: 0009-0007-0974-4873

According to our database1, Kuo-Hsuan Hung authored at least 29 papers between 2019 and 2024.

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

Timeline

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Links

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Bibliography

2024
An SRAM-Based Reconfigurable Cognitive Computation Matrix for Sensor Edge Applications.
IEEE J. Solid State Circuits, February, 2024

MECG-E: Mamba-based ECG Enhancer for Baseline Wander Removal.
CoRR, 2024

Robust Audio-Visual Speech Enhancement: Correcting Misassignments in Complex Environments with Advanced Post-Processing.
CoRR, 2024

Leveraging Joint Spectral and Spatial Learning with MAMBA for Multichannel Speech Enhancement.
CoRR, 2024

Exploiting Consistency-Preserving Loss and Perceptual Contrast Stretching to Boost SSL-based Speech Enhancement.
CoRR, 2024

Prognosticating Lumbar Spinal Surgery Outcomes for Low Back Pain and Sciatica Patients by Utilizing Preoperative Assessments from Western and Eastern Medicine and Multimodal Fusion Learning Techniques.
Proceedings of the 2024 8th International Conference on Medical and Health Informatics, 2024

Self-Supervised Speech Quality Estimation and Enhancement Using Only Clean Speech.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Preoperative Prognosis Assessment of Lumbar Spinal Surgery for Low Back Pain and Sciatica Patients based on Multimodalities and Multimodal Learning.
CoRR, 2023

Self-supervised based general laboratory progress pretrained model for cardiovascular event detection.
CoRR, 2023

Voice Direction-Of-Arrival Conversion.
Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023

Interpretations of Domain Adaptations via Layer Variational Analysis.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Audio-Visual Speech Enhancement and Separation by Utilizing Multi-Modal Self-Supervised Embeddings.
Proceedings of the IEEE International Conference on Acoustics, 2023

Study on the Correlation Between Objective Evaluations and Subjective Speech Quality and Intelligibility.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2023

2022
Deep-Learning-Based Signal Enhancement of Low-Resolution Accelerometer for Fall Detection Systems.
IEEE Trans. Cogn. Dev. Syst., 2022

Audio-Visual Speech Enhancement and Separation by Leveraging Multi-Modal Self-Supervised Embeddings.
CoRR, 2022

CITISEN: A Deep Learning-Based Speech Signal-Processing Mobile Application.
IEEE Access, 2022

Boosting Self-Supervised Embeddings for Speech Enhancement.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Partially Fake Audio Detection by Self-Attention-Based Fake Span Discovery.
Proceedings of the IEEE International Conference on Acoustics, 2022

Speech Recovery For Real-World Self-Powered Intermittent Devices.
Proceedings of the IEEE International Conference on Acoustics, 2022

MetricGAN-U: Unsupervised Speech Enhancement/ Dereverberation Based Only on Noisy/ Reverberated Speech.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Intermittent Speech Recovery.
CoRR, 2021

EMA2S: An End-to-End Multimodal Articulatory-to-Speech System.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2021

A Study of Incorporating Articulatory Movement Information in Speech Enhancement.
Proceedings of the 29th European Signal Processing Conference, 2021

2020
Time-Domain Multi-Modal Bone/Air Conducted Speech Enhancement.
IEEE Signal Process. Lett., 2020

CITISEN: A Deep Learning-Based Speech Signal-Processing Mobile Application.
CoRR, 2020

Boosting Objective Scores of Speech Enhancement Model through MetricGAN Post-Processing.
CoRR, 2020

Boosting Objective Scores of a Speech Enhancement Model by MetricGAN Post-processing.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2020

2019
Time-Domain Multi-modal Bone/air Conducted Speech Enhancement.
CoRR, 2019

Noise Reduction in ECG Signals Using Fully Convolutional Denoising Autoencoders.
IEEE Access, 2019


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