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Ryandhimas Zezario
Ryandhimas Zezario
Verified email at citi.sinica.edu.tw - Homepage
Title
Cited by
Cited by
Year
Deep learning-based non-intrusive multi-objective speech assessment model with cross-domain features
RE Zezario, SW Fu, F Chen, CS Fuh, HM Wang, Y Tsao
IEEE/ACM Transactions on Audio, Speech, and Language Processing 31, 54-70, 2022
722022
Speech enhancement based on denoising autoencoder with multi-branched encoders
C Yu, RE Zezario, SS Wang, J Sherman, YY Hsieh, X Lu, HM Wang, ...
IEEE/ACM Transactions on Audio, Speech, and Language Processing 28, 2756-2769, 2020
462020
STOI-Net: A deep learning based non-intrusive speech intelligibility assessment model
RE Zezario, SW Fu, CS Fuh, Y Tsao, HM Wang
2020 Asia-Pacific Signal and Information Processing Association Annual …, 2020
402020
Self-supervised denoising autoencoder with linear regression decoder for speech enhancement
RE Zezario, T Hussain, X Lu, HM Wang, Y Tsao
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
292020
MBI-Net: A non-intrusive multi-branched speech intelligibility prediction model for hearing aids
RE Zezario, F Chen, CS Fuh, HM Wang, Y Tsao
INTERSPEECH, 3944-3948, 2022
182022
Boosting Objective Scores of a Speech Enhancement Model by MetricGAN Post-processing
SW Fu, CF Liao, TA Hsieh, KH Hung, SS Wang, C Yu, HC Kuo, ...
2020 Asia-Pacific Signal and Information Processing Association Annual …, 2020
172020
A study on incorporating Whisper for robust speech assessment
RE Zezario12, YW Chen, SW Fu, Y Tsao, HM Wang, CS Fuh
102023
MTI-Net: A multi-target speech intelligibility prediction model
RE Zezario, S Fu, F Chen, CS Fuh, HM Wang, Y Tsao
INTERSPEECH, 5463-5467, 2022
102022
Deep denoising autoencoder based post filtering for speech enhancement
RE Zezario, JW Huang, X Lu, Y Tsao, HT Hwang, HM Wang
2018 Asia-Pacific Signal and Information Processing Association Annual …, 2018
102018
Specialized speech enhancement model selection based on learned non-intrusive quality assessment metric.
RE Zezario, SW Fu, X Lu, HM Wang, Y Tsao
INTERSPEECH, 3168-3172, 2019
92019
Speech enhancement with zero-shot model selection
RE Zezario, CS Fuh, HM Wang, Y Tsao
2021 29th European Signal Processing Conference (EUSIPCO), 491-495, 2021
82021
The VoiceMOS Challenge 2024: Beyond Speech Quality Prediction
WC Huang, SW Fu, E Cooper, RE Zezario, T Toda, HM Wang, ...
arXiv preprint arXiv:2409.07001, 2024
22024
Multi-Task Pseudo-Label Learning for Non-Intrusive Speech Quality Assessment Model
RE Zezario, BRB Bai, CS Fuh, HM Wang, Y Tsao
ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024
22024
Investigation of a single-channel frequency-domain speech enhancement network to improve end-to-end Bengali automatic speech recognition under unseen noisy conditions
MME Noor, YJ Lu, SS Wang, S Ghose, CY Chang, RE Zezario, S Ahmed, ...
2021 24th Conference of the Oriental COCOSDA International Committee for the …, 2021
22021
Comparative Study of Masking and Mapping Based on Hierarchical Extreme Learning Machine for Speech Enhancement
RE Zezario, JWC Sigalingging, T Hussain, JC Wang, Y Tsao
2019 International Symposium on Intelligent Signal Processing and …, 2019
22019
Utilizing Whisper to Enhance Multi-Branched Speech Intelligibility Prediction Model for Hearing Aids
RE Zezario, F Chen, CS Fuh, HM Wang, Y Tsao
arXiv preprint arXiv:2309.09548, 2023
12023
Deep learning-based speech intelligibility prediction model by incorporating Whisper for hearing aids
RE Zezario, CS Fuh, HM Wang, Y Tsao
Proc. ISCA Clarity-2023, Dublin, Ireland, 2023
12023
Incorporating local environment information with ensemble neural networks to robust automatic speech recognition
CY Hsu, RE Zezario, JC Wang, CW Ho, X Lu, Y Tsao
2016 10th International Symposium on Chinese Spoken Language Processing …, 2016
12016
A Study on Zero-shot Non-intrusive Speech Assessment using Large Language Models
RE Zezario, SM Siniscalchi, HM Wang, Y Tsao
arXiv preprint arXiv:2409.09914, 2024
2024
HAAQI-Net: A non-intrusive neural music quality assessment model for hearing aids
DAMG Wisnu, E Pratiwi, S Rini, RE Zezario, HM Wang, Y Tsao
arXiv preprint arXiv:2401.01145, 2024
2024
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