Search Results for author: Heng-Cheng Kuo

Found 8 papers, 0 papers with code

Sea You Later: Metadata-Guided Long-Term Re-Identification for UAV-Based Multi-Object Tracking

no code implementations6 Nov 2023 Cheng-Yen Yang, Hsiang-Wei Huang, Zhongyu Jiang, Heng-Cheng Kuo, Jie Mei, Chung-I Huang, Jenq-Neng Hwang

Re-identification (ReID) in multi-object tracking (MOT) for UAVs in maritime computer vision has been challenging for several reasons.

Multi-Object Tracking

Study on the Correlation between Objective Evaluations and Subjective Speech Quality and Intelligibility

no code implementations10 Jul 2023 Hsin-Tien Chiang, Kuo-Hsuan Hung, Szu-Wei Fu, Heng-Cheng Kuo, Ming-Hsueh Tsai, Yu Tsao

Moreover, new objective measures are proposed that combine current objective measures using deep learning techniques to predict subjective quality and intelligibility.

Toward Real-World Voice Disorder Classification

no code implementations5 Dec 2021 Heng-Cheng Kuo, Yu-Peng Hsieh, Huan-Hsin Tseng, Chi-Te Wang, Shih-Hau Fang, Yu Tsao

Conclusion: By deploying factorized convolutional neural networks and domain adversarial training, domain-invariant features can be derived for voice disorder classification with limited resources.

Classification Model Compression

Domain-adaptive Fall Detection Using Deep Adversarial Training

no code implementations20 Dec 2020 Kai-Chun Liu, Michael Can, Heng-Cheng Kuo, Chia-Yeh Hsieh, Hsiang-Yun Huang, Chia-Tai Chan, Yu Tsao

The proposed DAFD can transfer knowledge from the source domain to the target domain by minimizing the domain discrepancy to avoid mismatch problems.

BIG-bench Machine Learning Domain Adaptation +2

Boosting Objective Scores of a Speech Enhancement Model by MetricGAN Post-processing

no code implementations18 Jun 2020 Szu-Wei Fu, Chien-Feng Liao, Tsun-An Hsieh, Kuo-Hsuan Hung, Syu-Siang Wang, Cheng Yu, Heng-Cheng Kuo, Ryandhimas E. Zezario, You-Jin Li, Shang-Yi Chuang, Yen-Ju Lu, Yu Tsao

The Transformer architecture has demonstrated a superior ability compared to recurrent neural networks in many different natural language processing applications.

Speech Enhancement

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