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Ryandhimas Zezario
Ryandhimas Zezario
Verified email at citi.sinica.edu.tw - Homepage
Title
Cited by
Cited by
Year
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
222020
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
182020
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
162022
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
152020
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
132020
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
62018
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
52019
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
42021
MBI-Net: A non-intrusive multi-branched speech intelligibility prediction model for hearing aids
RE Zezario, F Chen, CS Fuh, HM Wang, Y Tsao
arXiv preprint arXiv:2204.03305, 2022
32022
MTI-Net: A multi-target speech intelligibility prediction model
RE Zezario, S Fu, F Chen, CS Fuh, HM Wang, Y Tsao
arXiv preprint arXiv:2204.03310, 2022
12022
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
12021
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
12019
基於語音增強技術之多模態訓練語料強健類神經網路聲學模型
RE Zezario
National Central University, 2017
2017
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
2016
Implementasi Backpropagation Neural Network Dalam Pembangkitan Otomatis Fungsi Keanggotaan Fuzzy Pada Penderita Penyakit Hepatitis
RE Zezario
Universitas Brawijaya, 2014
2014
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