| 2025 | ICASSP | Using RLHF to align speech enhancement approaches to mean-opinion quality scores. | Anurag Kumar, Andrew Perrault, Donald S. Williamson |
| 2025 | ICASSP | A Pre-training Framework that Encodes Noise Information for Speech Quality Assessment. | Subrina Sultana, Donald S. Williamson |
| 2025 | Interspeech | AttentiveMOS: A Lightweight Attention-Only Model forSpeech Quality Prediction. | Imran E. Kibria, Donald S. Williamson |
| 2022 | Interspeech | Preventing sensitive-word recognition using self-supervised learning to preserve user-privacy for automatic speech recognition. | Yuchen Liu, Apu Kapadia, Donald S. Williamson |
| 2022 | Interspeech | ConferencingSpeech 2022 Challenge: Non-intrusive Objective Speech Quality Assessment (NISQA) Challenge for Online Conferencing Applications. | Gaoxiong Yi, Wei Xiao, Yiming Xiao, Babak Naderi, Sebastian Mller, Wafaa Wardah, Gabriel Mittag, Ross Cutler, Zhuohuang Zhang, Donald S. Williamson, Fei Chen, Fuzheng Yang, Shidong Shang |
| 2022 | Interspeech | Investigation on the Band Importance of Phase-aware Speech Enhancement. | Zhuohuang Zhang, Donald S. Williamson, Yi Shen |
| 2021 | ICASSP | On Loss Functions for Deep-Learning Based T60 Estimation. | Yuying Li, Yuchen Liu, Donald S. Williamson |
| 2021 | ICASSP | Towards An ASR Approach Using Acoustic and Language Models for Speech Enhancement. | Khandokar Md. Nayem, Donald S. Williamson |
| 2021 | ICASSP | An End-To-End Non-Intrusive Model for Subjective and Objective Real-World Speech Assessment Using a Multi-Task Framework. | Zhuohuang Zhang, Piyush Vyas, Xuan Dong, Donald S. Williamson |
| 2021 | Interspeech | Incorporating Embedding Vectors from a Human Mean-Opinion Score Prediction Model for Monaural Speech Enhancement. | Khandokar Md. Nayem, Donald S. Williamson |
| 2021 | Interspeech | Optimally Encoding Inductive Biases into the Transformer Improves End-to-End Speech Translation. | Piyush Vyas, Anastasia Kuznetsova, Donald S. Williamson |
| 2020 | ICASSP | An Attention Enhanced Multi-Task Model for Objective Speech Assessment in Real-World Environments. | Xuan Dong, Donald S. Williamson |
| 2020 | ICASSP | A Return to Dereverberation in the Frequency Domain Using a Joint Learning Approach. | Yuying Li, Donald S. Williamson |
| 2020 | ICASSP | Monaural Speech Enhancement Using Intra-Spectral Recurrent Layers in the Magnitude and Phase Responses. | Khandokar Md. Nayem, Donald S. Williamson |
| 2020 | Interspeech | A Pyramid Recurrent Network for Predicting Crowdsourced Speech-Quality Ratings of Real-World Signals. | Xuan Dong, Donald S. Williamson |
| 2020 | Interspeech | On Loss Functions and Recurrency Training for GAN-Based Speech Enhancement Systems. | Zhuohuang Zhang, Chengyun Deng, Yi Shen, Donald S. Williamson, Yongtao Sha, Yi Zhang, Hui Song, Xiangang Li |
| 2020 | Interspeech | Investigation of Phase Distortion on Perceived Speech Quality for Hearing-Impaired Listeners. | Zhuohuang Zhang, Donald S. Williamson, Yi Shen |
| 2019 | ICASSP | Objective Comparison of Speech Enhancement Algorithms with Hearing Loss Simulation. | Zhuohuang Zhang, Yi Shen, Donald S. Williamson |
| 2017 | ICASSP | Speech dereverberation and denoising using complex ratio masks. | Donald S. Williamson, DeLiang Wang |
| 2016 | ICASSP | Complex ratio masking for joint enhancement of magnitude and phase. | Donald S. Williamson, Yuxuan Wang, DeLiang Wang |
| 2015 | ICASSP | Deep neural networks for estimating speech model activations. | Donald S. Williamson, Yuxuan Wang, DeLiang Wang |
| 2014 | ICASSP | A two-stage approach for improving the perceptual quality of separated speech. | Donald S. Williamson, Yuxuan Wang, DeLiang Wang |
| 2013 | ICASSP | A sparse representation approach for perceptual quality improvement of separated speech. | Donald S. Williamson, Yuxuan Wang, DeLiang Wang |