Ryandhimas E. Zezario

CITI, Academia Sinica

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I am currently a Postdoctoral Researcher at the Research Center for Information Technology Innovation, Academia Sinica, in Taipei, Taiwan. I received a Ph.D. degree in Computer Science and Information Engineering from National Taiwan University, Taipei, Taiwan.

I am a Reviewer in leading journals/conferences, such as IEEE/ACM TASLP, IEEE SPL, IEEE J-STSP, IEEE ICASSP, Interspeech, IEEE ASRU, IEEE SLT, IEEE ICME, Speech Communication, etc. I was a recipient of the Gold Prize for the Best Non-Intrusive Systems, the first place in the Hearing Industry Research Consortium student prizes at the Clarity Prediction Challenge 2022, the Best Reviewer Award at IEEE ASRU 2023, and third place at Clarity Prediction Challenge 2025. In addition, one of my publications, “Deep Learning-Based Non-Intrusive Multi-Objective Speech Assessment Model With Cross-Domain Features,” has been recognized as one of the IEEE Signal Processing Society’s top 25 downloaded articles from Sept. 2022 - Sept. 2023 for IEEE/ACM Transactions on Audio, Speech, and Language Processing on IEEE Xplore.

My research interests include deep learning, speech processing, speech recognition, neural speech assessment, hearing assistive technology, and multi-modal systems. Please kindly check the following link for more up-to-date publications.

selected publications

  1. IEEE ICASSP
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    Few-Shot and Pseudo-Label Guided Speech Quality Evaluation with Large Language Models
    Ryandhimas E. Zezario, Dyah A. M. G. Wisnu, Szu-Wei Fu, and 3 more authors
    In ICASSP 2026 - 2026 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2026
    DOI PDF
  2. APSIPA
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    Non-Intrusive Intelligibility Prediction for Hearing Aids: Recent Advances, Trends, and Challenges
    Ryandhimas E. Zezario
    In 2025 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), 2025
    DOI PDF
  3. Interspeech
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    Feature Importance across Domains for Improving Non-Intrusive Speech Intelligibility Prediction in Hearing Aids
    Ryandhimas E. Zezario, Sabato M. Siniscalchi, Fei Chen, and 2 more authors
    In Interspeech 2025, 2025
    DOI PDF
  4. IEEE TASLP
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    Deep Learning-Based Non-Intrusive Multi-Objective Speech Assessment Model With Cross-Domain Features
    Ryandhimas E. Zezario, Szu-Wei Fu, Fei Chen, and 3 more authors
    IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2023
    DOI PDF Code
  5. IEEE TASLP
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    Speech Enhancement Based on Denoising Autoencoder With Multi-Branched Encoders
    Cheng *Yu, Ryandhimas E. *Zezario, Syu-Siang Wang, and 5 more authors
    IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2020
    DOI PDF