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ORCIDRyandhimas E. Zezario
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2020 – today
- 2024
[c13]Ryandhimas E. Zezario, Bo-Ren Brian Bai, Chiou-Shann Fuh, Hsin-Min Wang, Yu Tsao:
Multi-Task Pseudo-Label Learning for Non-Intrusive Speech Quality Assessment Model. ICASSP 2024: 831-835- [c12]Ryandhimas E. Zezario, Yu-Wen Chen, Szu-Wei Fu, Yu Tsao, Hsin-Min Wang, Chiou-Shann Fuh:
A Study On Incorporating Whisper For Robust Speech Assessment. ICME 2024: 1-6 - [i13]Dyah A. M. G. Wisnu, Epri W. Pratiwi, Stefano Rini, Ryandhimas E. Zezario, Hsin-Min Wang, Yu Tsao:
HAAQI-Net: A non-intrusive neural music quality assessment model for hearing aids. CoRR abs/2401.01145 (2024) - [i12]Wen-Chin Huang, Szu-Wei Fu, Erica Cooper, Ryandhimas E. Zezario, Tomoki Toda, Hsin-Min Wang, Junichi Yamagishi, Yu Tsao:
The VoiceMOS Challenge 2024: Beyond Speech Quality Prediction. CoRR abs/2409.07001 (2024) - [i11]Ryandhimas E. Zezario, Sabato Marco Siniscalchi, Hsin-Min Wang, Yu Tsao:
A Study on Zero-shot Non-intrusive Speech Assessment using Large Language Models. CoRR abs/2409.09914 (2024) - 2023
- [j2]Ryandhimas E. Zezario
, Szu-Wei Fu, Fei Chen, Chiou-Shann Fuh, Hsin-Min Wang, Yu Tsao:
Deep Learning-Based Non-Intrusive Multi-Objective Speech Assessment Model With Cross-Domain Features. IEEE ACM Trans. Audio Speech Lang. Process. 31: 54-70 (2023) - [i10]Ryandhimas E. Zezario, Bo-Ren Brian Bai, Chiou-Shann Fuh, Hsin-Min Wang, Yu Tsao:
Multi-Task Pseudo-Label Learning for Non-Intrusive Speech Quality Assessment Model. CoRR abs/2308.09262 (2023) - [i9]Ryandhimas E. Zezario, Fei Chen, Chiou-Shann Fuh, Hsin-Min Wang, Yu Tsao:
Utilizing Whisper to Enhance Multi-Branched Speech Intelligibility Prediction Model for Hearing Aids. CoRR abs/2309.09548 (2023) - [i8]Ryandhimas E. Zezario, Yu-Wen Chen, Szu-Wei Fu, Yu Tsao, Hsin-Min Wang, Chiou-Shann Fuh:
A Study on Incorporating Whisper for Robust Speech Assessment. CoRR abs/2309.12766 (2023) - 2022
- [c11]Ryandhimas Edo Zezario, Fei Chen, Chiou-Shann Fuh, Hsin-Min Wang, Yu Tsao:
MBI-Net: A Non-Intrusive Multi-Branched Speech Intelligibility Prediction Model for Hearing Aids. INTERSPEECH 2022: 3944-3948 - [c10]Ryandhimas Edo Zezario, Szu-Wei Fu, Fei Chen, Chiou-Shann Fuh, Hsin-Min Wang, Yu Tsao:
MTI-Net: A Multi-Target Speech Intelligibility Prediction Model. INTERSPEECH 2022: 5463-5467 - [i7]Ryandhimas E. Zezario, Fei Chen, Chiou-Shann Fuh, Hsin-Min Wang, Yu Tsao:
MBI-Net: A Non-Intrusive Multi-Branched Speech Intelligibility Prediction Model for Hearing Aids. CoRR abs/2204.03305 (2022) - [i6]Ryandhimas E. Zezario, Szu-Wei Fu, Fei Chen, Chiou-Shann Fuh, Hsin-Min Wang, Yu Tsao:
MTI-Net: A Multi-Target Speech Intelligibility Prediction Model. CoRR abs/2204.03310 (2022) - 2021
- [c9]Ryandhimas E. Zezario, Chiou-Shann Fuh, Hsin-Min Wang, Yu Tsao:
Speech Enhancement with Zero-Shot Model Selection. EUSIPCO 2021: 491-495 - [c8]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:
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 2021: 7-12 - [i5]Ryandhimas E. Zezario, Szu-Wei Fu, Fei Chen, Chiou-Shann Fuh, Hsin-Min Wang, Yu Tsao:
Deep Learning-based Non-Intrusive Multi-Objective Speech Assessment Model with Cross-Domain Features. CoRR abs/2111.02363 (2021) - 2020
- [j1]Cheng Yu, Ryandhimas E. Zezario, Syu-Siang Wang, Jonathan Sherman, Yi-Yen Hsieh, Xugang Lu, Hsin-Min Wang, Yu Tsao:
Speech Enhancement Based on Denoising Autoencoder With Multi-Branched Encoders. IEEE ACM Trans. Audio Speech Lang. Process. 28: 2756-2769 (2020) - [c7]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:
Boosting Objective Scores of a Speech Enhancement Model by MetricGAN Post-processing. APSIPA 2020: 455-459 - [c6]Ryandhimas E. Zezario, Szu-Wei Fu, Chiou-Shann Fuh, Yu Tsao, Hsin-Min Wang:
STOI-Net: A Deep Learning based Non-Intrusive Speech Intelligibility Assessment Model. APSIPA 2020: 482-486 - [c5]Ryandhimas E. Zezario, Tassadaq Hussain, Xugang Lu, Hsin-Min Wang, Yu Tsao:
Self-Supervised Denoising Autoencoder with Linear Regression Decoder for Speech Enhancement. ICASSP 2020: 6669-6673 - [i4]Cheng Yu, Ryandhimas E. Zezario, Jonathan Sherman, Yi-Yen Hsieh, Xugang Lu, Hsin-Min Wang, Yu Tsao:
Speech Enhancement based on Denoising Autoencoder with Multi-branched Encoders. CoRR abs/2001.01538 (2020) - [i3]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:
Boosting Objective Scores of Speech Enhancement Model through MetricGAN Post-Processing. CoRR abs/2006.10296 (2020) - [i2]Ryandhimas E. Zezario, Szu-Wei Fu, Chiou-Shann Fuh, Yu Tsao, Hsin-Min Wang:
STOI-Net: A Deep Learning based Non-Intrusive Speech Intelligibility Assessment Model. CoRR abs/2011.04292 (2020) - [i1]Ryandhimas E. Zezario, Chiou-Shann Fuh, Hsin-Min Wang, Yu Tsao:
Speech Enhancement with Zero-Shot Model Selection. CoRR abs/2012.09359 (2020)
2010 – 2019
- 2019
- [c4]Ryandhimas E. Zezario, Szu-Wei Fu, Xugang Lu, Hsin-Min Wang, Yu Tsao:
Specialized Speech Enhancement Model Selection Based on Learned Non-Intrusive Quality Assessment Metric. INTERSPEECH 2019: 3168-3172 - [c3]Ryandhimas E. Zezario, Join W. C. Sigalingging, Tassadaq Hussain, Jia-Ching Wang, Yu Tsao:
Comparative Study of Masking and Mapping Based on Hierarchical Extreme Learning Machine for Speech Enhancement. ISPACS 2019: 1-2 - 2018
- [c2]Ryandhimas E. Zezario, Jen-Wei Huang, Xugang Lu, Yu Tsao, Hsin-Te Hwang, Hsin-Min Wang:
Deep Denoising Autoencoder Based Post Filtering for Speech Enhancement. APSIPA 2018: 373-377 - 2016
- [c1]Chia-Yung Hsu, Ryandhimas E. Zezario, Jia-Ching Wang, Chin-Wen Ho, Xugang Lu, Yu Tsao:
Incorporating local environment information with ensemble neural networks to robust automatic speech recognition. ISCSLP 2016: 1-5
Coauthor Index
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last updated on 2024-10-22 21:16 CEST by the dblp team
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