Ryandhimas E. Zezario

Orcid: 0000-0001-7319-8263

According to our database1, Ryandhimas E. Zezario authored at least 21 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
A Study on Zero-shot Non-intrusive Speech Assessment using Large Language Models.
CoRR, 2024

The VoiceMOS Challenge 2024: Beyond Speech Quality Prediction.
CoRR, 2024

HAAQI-Net: A non-intrusive neural music quality assessment model for hearing aids.
CoRR, 2024

A Study On Incorporating Whisper For Robust Speech Assessment.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Multi-Task Pseudo-Label Learning for Non-Intrusive Speech Quality Assessment Model.
Proceedings of the IEEE International Conference on Acoustics, 2024

2023
Deep Learning-Based Non-Intrusive Multi-Objective Speech Assessment Model With Cross-Domain Features.
IEEE ACM Trans. Audio Speech Lang. Process., 2023

Utilizing Whisper to Enhance Multi-Branched Speech Intelligibility Prediction Model for Hearing Aids.
CoRR, 2023

2022
MTI-Net: A Multi-Target Speech Intelligibility Prediction Model.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

MBI-Net: A Non-Intrusive Multi-Branched Speech Intelligibility Prediction Model for Hearing Aids.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

2021
Investigation of a Single-Channel Frequency-Domain Speech Enhancement Network to Improve End-to-End Bengali Automatic Speech Recognition Under Unseen Noisy Conditions.
Proceedings of the 24th Conference of the Oriental COCOSDA International Committee for the Co-ordination and Standardisation of Speech Databases and Assessment Techniques, 2021

Speech Enhancement with Zero-Shot Model Selection.
Proceedings of the 29th European Signal Processing Conference, 2021

2020
Speech Enhancement Based on Denoising Autoencoder With Multi-Branched Encoders.
IEEE ACM Trans. Audio Speech Lang. Process., 2020

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

Speech Enhancement based on Denoising Autoencoder with Multi-branched Encoders.
CoRR, 2020

Self-Supervised Denoising Autoencoder with Linear Regression Decoder for Speech Enhancement.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

STOI-Net: A Deep Learning based Non-Intrusive Speech Intelligibility Assessment Model.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2020

Boosting Objective Scores of a Speech Enhancement Model by MetricGAN Post-processing.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2020

2019
Comparative Study of Masking and Mapping Based on Hierarchical Extreme Learning Machine for Speech Enhancement.
Proceedings of the 2019 International Symposium on Intelligent Signal Processing and Communication Systems, 2019

Specialized Speech Enhancement Model Selection Based on Learned Non-Intrusive Quality Assessment Metric.
Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

2018
Deep Denoising Autoencoder Based Post Filtering for Speech Enhancement.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2018

2016
Incorporating local environment information with ensemble neural networks to robust automatic speech recognition.
Proceedings of the 10th International Symposium on Chinese Spoken Language Processing, 2016


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