Incorporating local environment information with ensemble neural networks to robust automatic speech recognition. - Chia-Yung Hsu; Ryandhimas E. Zezario; Jia-Ching Wang; Chin-Wen Ho; Xugang Lu; Yu Tsao 001 (ISCSLP, 2016)

Deep Denoising Autoencoder Based Post Filtering for Speech Enhancement. - Ryandhimas E. Zezario; Jen-Wei Huang; Xugang Lu; Yu Tsao 001; Hsin-Te Hwang; Hsin-Min Wang (APSIPA, 2018)

Specialized Speech Enhancement Model Selection Based on Learned Non-Intrusive Quality Assessment Metric. - Ryandhimas E. Zezario; Szu-Wei Fu; Xugang Lu; Hsin-Min Wang; Yu Tsao 001 (INTERSPEECH, 2019)

Comparative Study of Masking and Mapping Based on Hierarchical Extreme Learning Machine for Speech Enhancement. - Ryandhimas E. Zezario; Join W. C. Sigalingging; Tassadaq Hussain; Jia-Ching Wang; Yu Tsao 001 (ISPACS, 2019)

Boosting Objective Scores of a Speech Enhancement Model by MetricGAN Post-processing. - 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-Chen Lin 003; et al. (APSIPA, 2020)

STOI-Net: A Deep Learning based Non-Intrusive Speech Intelligibility Assessment Model. - Ryandhimas E. Zezario; Szu-Wei Fu; Chiou-Shann Fuh; Yu Tsao 001; Hsin-Min Wang (APSIPA, 2020)

Self-Supervised Denoising Autoencoder with Linear Regression Decoder for Speech Enhancement. - Ryandhimas E. Zezario; Tassadaq Hussain; Xugang Lu; Hsin-Min Wang; Yu Tsao 001 (ICASSP, 2020)

Speech Enhancement based on Denoising Autoencoder with Multi-branched Encoders. - Cheng Yu; Ryandhimas E. Zezario; Jonathan Sherman; Yi-Yen Hsieh; Xugang Lu; Hsin-Min Wang; Yu Tsao 001 (CoRR, 2020)

Boosting Objective Scores of Speech Enhancement Model through MetricGAN Post-Processing. - 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 001 (CoRR, 2020)

Speech Enhancement Based on Denoising Autoencoder With Multi-Branched Encoders. - Cheng Yu; Ryandhimas E. Zezario; Syu-Siang Wang; Jonathan Sherman; Yi-Yen Hsieh; Xugang Lu; Hsin-Min Wang; Yu Tsao 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2020)

Speech Enhancement with Zero-Shot Model Selection. - Ryandhimas E. Zezario; Chiou-Shann Fuh; Hsin-Min Wang; Yu Tsao 001 (EUSIPCO, 2021)

Investigation of a Single-Channel Frequency-Domain Speech Enhancement Network to Improve End-to-End Bengali Automatic Speech Recognition Under Unseen Noisy Conditions. - Md Mahbub E. Noor; Yen-Ju Lu; Syu-Siang Wang; Supratip Ghose; Chia-Yu Chang; Ryandhimas E. Zezario; Shafique Ahmed; Wei-Ho Chung; Yu Tsao 001; Hsin-Min Wang (O-COCOSDA, 2021)

MBI-Net: A Non-Intrusive Multi-Branched Speech Intelligibility Prediction Model for Hearing Aids. - Ryandhimas Edo Zezario; Fei Chen 011; Chiou-Shann Fuh; Hsin-Min Wang; Yu Tsao 001 (INTERSPEECH, 2022)

MTI-Net: A Multi-Target Speech Intelligibility Prediction Model. - Ryandhimas Edo Zezario; Szu-Wei Fu; Fei Chen 011; Chiou-Shann Fuh; Hsin-Min Wang; Yu Tsao 001 (INTERSPEECH, 2022)

Utilizing Whisper to Enhance Multi-Branched Speech Intelligibility Prediction Model for Hearing Aids. - Ryandhimas E. Zezario; Fei Chen 011; Chiou-Shann Fuh; Hsin-Min Wang; Yu Tsao 001 (CoRR, 2023)

Deep Learning-Based Non-Intrusive Multi-Objective Speech Assessment Model With Cross-Domain Features. - Ryandhimas E. Zezario; Szu-Wei Fu; Fei Chen 011; Chiou-Shann Fuh; Hsin-Min Wang; Yu Tsao 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2023)

Multi-Task Pseudo-Label Learning for Non-Intrusive Speech Quality Assessment Model. - Ryandhimas E. Zezario; Bo-Ren Brian Bai; Chiou-Shann Fuh; Hsin-Min Wang; Yu Tsao 001 (ICASSP, 2024)

A Study On Incorporating Whisper For Robust Speech Assessment. - Ryandhimas E. Zezario; Yu-Wen Chen; Szu-Wei Fu; Yu Tsao 001; Hsin-Min Wang; Chiou-Shann Fuh (ICME, 2024)

Non-Intrusive Speech Intelligibility Prediction for Hearing Aids using Whisper and Metadata. - Ryandhimas E. Zezario; Fei Chen 011; Chiou-Shann Fuh; Hsin-Min Wang; Yu Tsao 001 (INTERSPEECH, 2024)

The Voicemos Challenge 2024: Beyond Speech Quality Prediction. - Wen-Chin Huang; Szu-Wei Fu; Erica Cooper; Ryandhimas E. Zezario; Tomoki Toda; Hsin-Min Wang; Junichi Yamagishi; Yu Tsao 001 (SLT, 2024)

HAAQI-Net: A non-intrusive neural music quality assessment model for hearing aids. - Dyah A. M. G. Wisnu; Epri W. Pratiwi; Stefano Rini; Ryandhimas E. Zezario; Hsin-Min Wang; Yu Tsao 001 (CoRR, 2024)

A Study on Zero-shot Non-intrusive Speech Assessment using Large Language Models. - Ryandhimas E. Zezario; Sabato Marco Siniscalchi; Hsin-Min Wang; Yu Tsao 001 (ICASSP, 2025)

NeuroAMP: A Novel End-to-end General Purpose Deep Neural Amplifier for Personalized Hearing Aids. - Shafique Ahmed; Ryandhimas E. Zezario; Hui-Guan Yuan; Amir Hussain 001; Hsin-Min Wang; Wei-Ho Chung; Yu Tsao 001 (CoRR, 2025)

A Study on Speech Assessment with Visual Cues. - Shafique Ahmed; Ryandhimas E. Zezario; Nasir Saleem; Amir Hussain 001; Hsin-Min Wang; Yu Tsao 001 (CoRR, 2025)

Neuro-MSBG: An End-to-End Neural Model for Hearing Loss Simulation. - Hui-Guan Yuan; Ryandhimas E. Zezario; Shafique Ahmed; Hsin-Min Wang; Kai-Lung Hua; Yu Tsao 001 (CoRR, 2025)

Feature Importance across Domains for Improving Non-Intrusive Speech Intelligibility Prediction in Hearing Aids. - Ryandhimas E. Zezario; Sabato Marco Siniscalchi; Fei Chen 011; Hsin-Min Wang; Yu Tsao 001 (CoRR, 2025)