Ryandhimas E. Zezario

46 papers A 5C 2Misc 3Journal 26Unranked 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
NeuroAMP: A Novel End-to-End General Purpose Deep Neural Amplifier for Personalized Hearing Aids.
IEEE Trans. Artif. Intell.
Shafique Ahmed, Ryandhimas E. Zezario, Hui-Guan Yuan, Amir Hussain, Hsin-Min Wang, Wei-Ho Chung, Yu Tsao
2026 J jnl
Rethinking Training Targets, Architectures and Data Quality for Universal Speech Enhancement.
CoRR
Szu-Wei Fu, Rong Chao, Xuesong Yang, Sung-Feng Huang, Ryandhimas E. Zezario, Rauf Nasretdinov, Ante Jukic, Yu Tsao, Yu-Chiang Frank Wang
2025 A conf
A Study on Speech Assessment with Visual Cues.
INTERSPEECH
Shafique Ahmed, Ryandhimas E. Zezario, Nasir Saleem, Amir Hussain, Hsin-Min Wang, Yu Tsao
2025 J jnl
A Study on Speech Assessment with Visual Cues.
CoRR
Shafique Ahmed, Ryandhimas E. Zezario, Nasir Saleem, Amir Hussain, Hsin-Min Wang, Yu Tsao
2025 J jnl
A Study on Zero-Shot Non-Intrusive Speech Intelligibility for Hearing Aids Using Large Language Models.
CoRR
Ryandhimas E. Zezario, Dyah A. M. G. Wisnu, Hsin-Min Wang, Yu Tsao
2025 Misc conf
A Study on Zero-shot Non-intrusive Speech Assessment using Large Language Models.
ICASSP
Ryandhimas E. Zezario, Sabato Marco Siniscalchi, Hsin-Min Wang, Yu Tsao
2025 A conf
Feature Importance across Domains for Improving Non-Intrusive Speech Intelligibility Prediction in Hearing Aids.
INTERSPEECH
Ryandhimas E. Zezario, Sabato Marco Siniscalchi, Fei Chen, Hsin-Min Wang, Yu Tsao
2025 J jnl
Feature Importance across Domains for Improving Non-Intrusive Speech Intelligibility Prediction in Hearing Aids.
CoRR
Ryandhimas E. Zezario, Sabato Marco Siniscalchi, Fei Chen, Hsin-Min Wang, Yu Tsao
2025 C conf
HighRateMOS: Sampling-Rate Aware Modeling for Speech Quality Assessment.
ASRU
Wenze Ren, Yi-Cheng Lin, Wen-Chin Huang, Ryandhimas E. Zezario, Szu-Wei Fu, Sung-Feng Huang, Erica Cooper, Haibin Wu, Hung-Yu Wei, Hsin-Min Wang, Hung-yi Lee, Yu Tsao
2025 C conf
Improving Perceptual Audio Aesthetic Assessment via Triplet Loss and Self-Supervised Embeddings.
ASRU
Dyah A. M. G. Wisnu, Ryandhimas E. Zezario, Stefano Rini, Hsin-Min Wang, Yu Tsao
2025 J jnl
Improving Perceptual Audio Aesthetic Assessment via Triplet Loss and Self-Supervised Embeddings.
CoRR
Dyah A. M. G. Wisnu, Ryandhimas E. Zezario, Stefano Rini, Hsin-Min Wang, Yu Tsao
2025 J jnl
Neuro-MSBG: An End-to-End Neural Model for Hearing Loss Simulation.
CoRR
Hui-Guan Yuan, Ryandhimas E. Zezario, Shafique Ahmed, Hsin-Min Wang, Kai-Lung Hua, Yu Tsao
2025 J jnl
NeuroAMP: A Novel End-to-end General Purpose Deep Neural Amplifier for Personalized Hearing Aids.
CoRR
Shafique Ahmed, Ryandhimas E. Zezario, Hui-Guan Yuan, Amir Hussain, Hsin-Min Wang, Wei-Ho Chung, Yu Tsao
2025 — conf
Non-Intrusive Intelligibility Prediction for Hearing Aids: Recent Advances, Trends, and Challenges.
APSIPA
Ryandhimas E. Zezario
2025 J jnl
Non-Intrusive Intelligibility Prediction for Hearing Aids: Recent Advances, Trends, and Challenges.
CoRR
Ryandhimas E. Zezario
2025 J jnl
STSM-FiLM: A FiLM-Conditioned Neural Architecture for Time-Scale Modification of Speech.
CoRR
Dyah A. M. G. Wisnu, Ryandhimas E. Zezario, Stefano Rini, Fo-Rui Li, Yan-Tsung Peng, Hsin-Min Wang, Yu Tsao
2025 — conf
Speech Intelligibility Assessment with Uncertainty-Aware Whisper Embeddings and sLSTM.
APSIPA
Ryandhimas E. Zezario, Dyah A. M. G. Wisnu, Hsin-Min Wang, Yu Tsao
2025 J jnl
Speech Intelligibility Assessment with Uncertainty-Aware Whisper Embeddings and sLSTM.
CoRR
Ryandhimas E. Zezario, Dyah A. M. G. Wisnu, Hsin-Min Wang, Yu Tsao
2024 A conf
A Study On Incorporating Whisper For Robust Speech Assessment.
ICME
Ryandhimas E. Zezario, Yu-Wen Chen, Szu-Wei Fu, Yu Tsao, Hsin-Min Wang, Chiou-Shann Fuh
2024 J jnl
A Study on Zero-shot Non-intrusive Speech Assessment using Large Language Models.
CoRR
Ryandhimas E. Zezario, Sabato Marco Siniscalchi, Hsin-Min Wang, Yu Tsao
2024 J jnl
HAAQI-Net: A non-intrusive neural music quality assessment model for hearing aids.
CoRR
Dyah A. M. G. Wisnu, Epri W. Pratiwi, Stefano Rini, Ryandhimas E. Zezario, Hsin-Min Wang, Yu Tsao
2024 Misc conf
Multi-Task Pseudo-Label Learning for Non-Intrusive Speech Quality Assessment Model.
ICASSP
Ryandhimas E. Zezario, Bo-Ren Brian Bai, Chiou-Shann Fuh, Hsin-Min Wang, Yu Tsao
2024 A conf
Non-Intrusive Speech Intelligibility Prediction for Hearing Aids using Whisper and Metadata.
INTERSPEECH
Ryandhimas E. Zezario, Fei Chen, Chiou-Shann Fuh, Hsin-Min Wang, Yu Tsao
2024 J jnl
The VoiceMOS Challenge 2024: Beyond Speech Quality Prediction.
CoRR
Wen-Chin Huang, Szu-Wei Fu, Erica Cooper, Ryandhimas E. Zezario, Tomoki Toda, Hsin-Min Wang, Junichi Yamagishi, Yu Tsao
2024 — conf
The Voicemos Challenge 2024: Beyond Speech Quality Prediction.
SLT
Wen-Chin Huang, Szu-Wei Fu, Erica Cooper, Ryandhimas E. Zezario, Tomoki Toda, Hsin-Min Wang, Junichi Yamagishi, Yu Tsao
2023 J jnl
A Study on Incorporating Whisper for Robust Speech Assessment.
CoRR
Ryandhimas E. Zezario, Yu-Wen Chen, Szu-Wei Fu, Yu Tsao, Hsin-Min Wang, Chiou-Shann Fuh
2023 J jnl
Deep Learning-Based Non-Intrusive Multi-Objective Speech Assessment Model With Cross-Domain Features.
IEEE ACM Trans. Audio Speech Lang. Process.
Ryandhimas E. Zezario, Szu-Wei Fu, Fei Chen, Chiou-Shann Fuh, Hsin-Min Wang, Yu Tsao
2023 J jnl
Multi-Task Pseudo-Label Learning for Non-Intrusive Speech Quality Assessment Model.
CoRR
Ryandhimas E. Zezario, Bo-Ren Brian Bai, Chiou-Shann Fuh, Hsin-Min Wang, Yu Tsao
2023 J jnl
Utilizing Whisper to Enhance Multi-Branched Speech Intelligibility Prediction Model for Hearing Aids.
CoRR
Ryandhimas E. Zezario, Fei Chen, Chiou-Shann Fuh, Hsin-Min Wang, Yu Tsao
2022 J jnl
MBI-Net: A Non-Intrusive Multi-Branched Speech Intelligibility Prediction Model for Hearing Aids.
CoRR
Ryandhimas E. Zezario, Fei Chen, Chiou-Shann Fuh, Hsin-Min Wang, Yu Tsao
2022 J jnl
MTI-Net: A Multi-Target Speech Intelligibility Prediction Model.
CoRR
Ryandhimas E. Zezario, Szu-Wei Fu, Fei Chen, Chiou-Shann Fuh, Hsin-Min Wang, Yu Tsao
2021 J jnl
Deep Learning-based Non-Intrusive Multi-Objective Speech Assessment Model with Cross-Domain Features.
CoRR
Ryandhimas E. Zezario, Szu-Wei Fu, Fei Chen, Chiou-Shann Fuh, Hsin-Min Wang, Yu Tsao
2021 — conf
Investigation of a Single-Channel Frequency-Domain Speech Enhancement Network to Improve End-to-End Bengali Automatic Speech Recognition Under Unseen Noisy Conditions.
O-COCOSDA
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, Hsin-Min Wang
2021 — conf
Speech Enhancement with Zero-Shot Model Selection.
EUSIPCO
Ryandhimas E. Zezario, Chiou-Shann Fuh, Hsin-Min Wang, Yu Tsao
2020 J jnl
Boosting Objective Scores of Speech Enhancement Model through MetricGAN Post-Processing.
CoRR
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
2020 — conf
Boosting Objective Scores of a Speech Enhancement Model by MetricGAN Post-processing.
APSIPA
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, Yu Tsao
2020 — conf
STOI-Net: A Deep Learning based Non-Intrusive Speech Intelligibility Assessment Model.
APSIPA
Ryandhimas E. Zezario, Szu-Wei Fu, Chiou-Shann Fuh, Yu Tsao, Hsin-Min Wang
2020 J jnl
STOI-Net: A Deep Learning based Non-Intrusive Speech Intelligibility Assessment Model.
CoRR
Ryandhimas E. Zezario, Szu-Wei Fu, Chiou-Shann Fuh, Yu Tsao, Hsin-Min Wang
2020 Misc conf
Self-Supervised Denoising Autoencoder with Linear Regression Decoder for Speech Enhancement.
ICASSP
Ryandhimas E. Zezario, Tassadaq Hussain, Xugang Lu, Hsin-Min Wang, Yu Tsao
2020 J jnl
Speech Enhancement Based on Denoising Autoencoder With Multi-Branched Encoders.
IEEE ACM Trans. Audio Speech Lang. Process.
Cheng Yu, Ryandhimas E. Zezario, Syu-Siang Wang, Jonathan Sherman, Yi-Yen Hsieh, Xugang Lu, Hsin-Min Wang, Yu Tsao
2020 J jnl
Speech Enhancement based on Denoising Autoencoder with Multi-branched Encoders.
CoRR
Cheng Yu, Ryandhimas E. Zezario, Jonathan Sherman, Yi-Yen Hsieh, Xugang Lu, Hsin-Min Wang, Yu Tsao
2020 J jnl
Speech Enhancement with Zero-Shot Model Selection.
CoRR
Ryandhimas E. Zezario, Chiou-Shann Fuh, Hsin-Min Wang, Yu Tsao
2019 — conf
Comparative Study of Masking and Mapping Based on Hierarchical Extreme Learning Machine for Speech Enhancement.
ISPACS
Ryandhimas E. Zezario, Join W. C. Sigalingging, Tassadaq Hussain, Jia-Ching Wang, Yu Tsao
2019 A conf
Specialized Speech Enhancement Model Selection Based on Learned Non-Intrusive Quality Assessment Metric.
INTERSPEECH
Ryandhimas E. Zezario, Szu-Wei Fu, Xugang Lu, Hsin-Min Wang, Yu Tsao
2018 — conf
Deep Denoising Autoencoder Based Post Filtering for Speech Enhancement.
APSIPA
Ryandhimas E. Zezario, Jen-Wei Huang, Xugang Lu, Yu Tsao, Hsin-Te Hwang, Hsin-Min Wang
2016 — conf
Incorporating local environment information with ensemble neural networks to robust automatic speech recognition.
ISCSLP
Chia-Yung Hsu, Ryandhimas E. Zezario, Jia-Ching Wang, Chin-Wen Ho, Xugang Lu, Yu Tsao