Optimum step-stress accelerated degradation test for Wiener degradation process under constraints. - Cheng-Hung Hu; Ming-Yung Lee; Jen Tang (Eur. J. Oper. Res., 2015)

A Two-Stage Latent Variable Estimation Procedure for Time-Censored Accelerated Degradation Tests. - Ming-Yung Lee; Cheng-Hung Hu; Jen Tang (IEEE Trans. Reliab., 2017)

Comparison among several commonly used sampling methods for a degradation test. - Cheng-Hung Hu; Ming-Yung Lee (Qual. Reliab. Eng. Int., 2018)

The Academia Sinica Systems of Voice Conversion for VCC2020. - Yu-Huai Peng; Cheng-Hung Hu; Alexander Chao-Fu Kang; Hung-Shin Lee; Pin-Yuan Chen; Yu Tsao 001; Hsin-Min Wang (Blizzard Challenge / Voice Conversion Challenge, 2020)

Relational Data Selection for Data Augmentation of Speaker-Dependent Multi-Band MelGAN Vocoder. - Yi-Chiao Wu; Cheng-Hung Hu; Hung-Shin Lee; Yu-Huai Peng; Wen-Chin Huang; Yu Tsao 001; Hsin-Min Wang; Tomoki Toda (Interspeech, 2021)

The AS-NU System for the M2VoC Challenge. - Cheng-Hung Hu; Yi-Chiao Wu; Wen-Chin Huang; Yu-Huai Peng; Yu-Wen Chen; Pin-Jui Ku; Tomoki Toda; Yu Tsao 001; Hsin-Min Wang (CoRR, 2021)

NASTAR: Noise Adaptive Speech Enhancement with Target-Conditional Resampling. - Chi-Chang Lee; Cheng-Hung Hu; Yu-Chen Lin 003; Chu-Song Chen; Hsin-Min Wang; Yu Tsao 001 (INTERSPEECH, 2022)

SVSNet: An End-to-End Speaker Voice Similarity Assessment Model. - Cheng-Hung Hu; Yu-Huai Peng; Junichi Yamagishi; Yu Tsao 001; Hsin-Min Wang (IEEE Signal Process. Lett., 2022)

Preference-based training framework for automatic speech quality assessment using deep neural network. - Cheng-Hung Hu; Yusuke Yasuda; Tomoki Toda (INTERSPEECH, 2023)

Optimum degradation test sampling plan for the Wiener process. - Cheng-Hung Hu; Chih-Yuan Huang (Qual. Reliab. Eng. Int., 2023)

Optimum degradation test plan under model mis-specification for Wiener and gamma processes. - Cheng-Hung Hu (Commun. Stat. Simul. Comput., 2023)

Embedding Learning for Preference-based Speech Quality Assessment. - Cheng-Hung Hu; Yusuke Yasuda; Tomoki Toda (INTERSPEECH, 2024)

E2EPref: An end-to-end preference-based framework for speech quality assessment to alleviate bias in direct assessment scores. - Cheng-Hung Hu; Yusuke Yasuda; Tomoki Toda (Comput. Speech Lang., 2025)

Unifying Listener Scoring Scales: Comparison Learning Framework for Speech Quality Assessment and Continuous Speech Emotion Recognition. - Cheng-Hung Hu; Yusuke Yasuda; Akifumi Yoshimoto; Tomoki Toda (CoRR, 2025)