Ziyue Zhao

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Dr.-Ing. Ziyue Zhao

Last update: August 2026

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Work Experience

From Sept. 2024 till now

Senior Research Scientist
GN Hearing, Eindhoven, the Netherlands

Jan. 2021 - Aug. 2024

Research Scientist
GN Hearing, Eindhoven, the Netherlands

Aug. 2019 - Oct. 2019

Research Intern
BabbleLabs Inc. (now part of Cisco), Warsaw, Poland

Education

Sept. 2015 - Dec. 2020

Ph.D. (Dr.-Ing.)
Institute for Communications Technology, Technische Universität Braunschweig, Germany

Honors and Awards

Publications and Patents

  1. H. Lugo Girao, E. Seidel, P. Mowlaee, Z. Zhao, T. Fingscheidt, “DiffVQE2: An Efficient Low-Delay Diffusion Model for Acoustic Echo and Noise Control”, accepted by International Workshop on Acoustic Signal Enhancement (IWAENC), Cremona, Italy, Sept. 2026.
  2. H. Lugo Girao, E. Seidel, P. Mowlaee, Z. Zhao, T. Fingscheidt, “DiffVQE: Hybrid Diffusion Voice Quality Enhancement Under Acoustic Echo and Noise”, accepted by INTERSPEECH, Sydney, Australia, Sept. 2026.
  3. Z. Zhao, B. Dam Pedersen, and E. van der Werf, “Hearing Device with Machine Learning-Based Noise Cancellation”, International Patent, 2025.
  4. J. Beckers, B. Van Erp, Z. Zhao, K. Kondrashov, B. De Vries, “Principled Pruning of Bayesian Neural Networks Through Variational Free Energy Minimization”, IEEE Open Journal of Signal Processing, vol. 5, pp. 195-203, Nov. 2023.
  5. Z. Xu, Z. Zhao, and T. Fingscheidt, “Coded Speech Quality Measurement by a Non-Intrusive PESQ-DNN”, IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 31, pp. 3404-3417, Sept. 2023.
  6. Z. Xu, S. Elshamy, Z. Zhao, and T. Fingscheidt, “Components Loss for Neural Networks in Mask-Based Speech Enhancement”, EURASIP Journal on Audio, Speech, and Music Processing, vol. 2021, no. 24, pp. 663-678, Jul. 2021.
  7. Z. Zhao, S. Elshamy, and T. Fingscheidt, “A Perceptual Weighting Filter Loss for DNN Training in Speech Enhancement”, Travel Award, in Proc. of IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), New Paltz, NY, USA, Oct. 2019, pp. 224-228.
  8. C. Brauer, Z. Zhao, D. Lorenz, and T. Fingscheidt, “Learning to Dequantize Speech Signals by Primal-Dual Networks: An Approach for Acoustic Sensor Networks”, in Proc. of International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Brighton, UK, May 2019, pp. 7000-7004.
  9. Z. Zhao, H. Liu, and T. Fingscheidt, “Convolutional Neural Networks to Enhance Coded Speech”, ITG Preis 2020, IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 27, no. 4, pp. 663-678, Apr. 2019.
  10. Z. Zhao, H. Liu, and T. Fingscheidt, “Enhancement of G.711-Coded Speech Providing Quality Higher Than Uncoded”, in Proc. of ITG Conference on Speech Communication, Oldenburg, Germany, Oct. 2018, pp. 211-215.
  11. Z. Zhao, S. Elshamy, H. Liu, and T. Fingscheidt, “A CNN Postprocessor to Enhance Coded Speech”, in Proc. of International Workshop on Acoustic Signal Enhancement (IWAENC), Tokyo, Japan, Sept. 2018, pp. 406-410.
  12. Z. Zhao, H. Liu, and T. Fingscheidt, “Nonlinear Prediction of Speech by Echo State Networks”, European Association for Signal Processing (EURASIP) Best Student Paper Award, in Proc. of European Signal Processing Conference (EUSIPCO), Rome, Italy, Sept. 2018, pp. 2099-2103.
  13. Z. Zhao, S. Han, and T. Fingscheidt, “Improving Vector Quantization-Based Decoders for Correlated Processes in Error-Free Transmission”, in Proc. of ITG Conference on Speech Communication, Paderborn, Germany, Oct. 2016, pp. 70-74.

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