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Noise-aware Speech Enhancement using Diffusion Probabilistic Model

2023

Hu, Y., Chen, C., Li, R., Zhu, Q., Chng, E. S.

Working Papers and Discussion Papers

Online

http://arxiv.org/abs/2307.08029v1

Digital Object Identifier

https://doi.org/10.48550/arXiv.2307.08029

Open Access

https://aura.abdn.ac.uk/bitstreams/f2f7df2f-f61a-4535-84b5-1e35170cdaec/download
Hearing Lips in Noise: Universal Viseme-Phoneme Mapping and Transfer for Robust Audio-Visual Speech Recognition

2023

Hu, Y., Li, R., Chen, C., Qin, C., Zhu, Q., Chng, E. S.

Chapters in Books, Reports and Conference Proceedings: Conference Proceedings

Online

https://aclanthology.org/2023.acl-long.848/

Open Access

https://aura.abdn.ac.uk/bitstreams/cd99e9ea-2dd5-4cd0-a39b-181e13fa43fe/download

https://aura.abdn.ac.uk/bitstreams/2664581e-65e6-46b7-ba2b-2ba3c09bb1d3/download
MIR-GAN: Refining Frame-Level Modality-Invariant Representations with Adversarial Network for Audio-Visual Speech Recognition

2023

Hu, Y., Chen, C., Li, R., Zou, H., Chng, E. S.

Chapters in Books, Reports and Conference Proceedings: Conference Proceedings

Online

https://aclanthology.org/2023.acl-long.649

Open Access

https://aura.abdn.ac.uk/bitstreams/e74a8afd-a592-4d76-b5b4-ed4fc85924ca/download

https://aura.abdn.ac.uk/bitstreams/ec233442-5841-4f33-9940-108edcff6aad/download
Non-Repeatable Experiments and Non-Reproducible Results: The Reproducibility Crisis in Human Evaluation in NLP

2023

Belz, A., Thomson, C., Reiter, E., Mille, S.

Findings of the Association for Computational Linguistics: ACL 2023. Rogers, A., Boyd-Graber, J., Okazaki, N. (eds.). Association for Computational Linguistics, pp. 3676-3687, 12 pages

Chapters in Books, Reports and Conference Proceedings: Chapters

Digital Object Identifier

https://doi.org/10.18653/v1/2023.findings-acl.226

Open Access

https://aura.abdn.ac.uk/bitstreams/48f369d9-f1e4-4d55-bd0b-77cc3cba1af1/download
MetaPro Online:: A computational metaphor processing online system

2023

Mao, R., Li, X., Kai, H., Ge, M., Cambria, E.

Chapters in Books, Reports and Conference Proceedings: Conference Proceedings

Digital Object Identifier

https://doi.org/10.18653/v1/2023.acl-demo.12

Open Access

https://aura.abdn.ac.uk/bitstreams/7dae2d54-9660-4bab-b530-708664f9360b/download
Gradient Remedy for Multi-Task Learning in End-to-End Noise-Robust Speech Recognition

2023

Hu, Y., Chen, C., Li, R., Zhu, Q., Chng, E. S.

Chapters in Books, Reports and Conference Proceedings: Conference Proceedings

Digital Object Identifier

https://doi.org/10.1109/ICASSP49357.2023.10096615

Open Access

https://aura.abdn.ac.uk/bitstreams/6bafccea-a94b-419a-9748-c8769f6ab7e5/download
Consultation Response to the UK Government’s Policy Proposals on AI Regulation: A Pro-Innovation Approach

2023

Zivkovic, P., Carey, L., Cserne, P., Lombardi, C., Poesen, M., Sripada, S., Sutherland, C., Taylor, R., Le, X. T., Adebola, T. (ed.)

University of Aberdeen: School of Law. 20 pages.

Other Contributions: Other Contributions
Influence of context on users’ views about explanations for decision-tree predictions

2023

Maruf, S., Zukerman, I., Reiter, E., Haffari, G.

Computer Speech & Language, vol. 81, 101483

Contributions to Journals: Articles

Digital Object Identifier

https://doi.org/10.1016/j.csl.2023.101483

Open Access

https://aura.abdn.ac.uk/bitstreams/36aec803-8a3d-4574-a06c-1fc4dbe357b7/download
Cross-Modal Global Interaction and Local Alignment for Audio-Visual Speech Recognition

2023

Hu, Y., Li, R., Chen, C., Zou, H., Zhu, Q., Chng, E. S.

Working Papers and Discussion Papers

Digital Object Identifier

https://doi.org/10.48550/arXiv.2305.09212 Focus to learn more

Open Access

https://aura.abdn.ac.uk/bitstreams/54b8280b-7b20-4bb9-918d-0ba5b182e507/download
Evaluating factual accuracy in complex data-to-text

2023

Thomson, C., Reiter, E., Sundararajan, B.

Computer Speech & Language, vol. 80, 101482

Contributions to Journals: Articles

Online

https://www.sciencedirect.com/science/article/pii/S0885230823000013

Digital Object Identifier

https://doi.org/10.1016/j.csl.2023.101482

Open Access

https://aura.abdn.ac.uk/bitstreams/5ae8499f-5daf-4046-8b3d-2db94928a37f/download

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Noise-aware Speech Enhancement using Diffusion Probabilistic Model

Hearing Lips in Noise: Universal Viseme-Phoneme Mapping and Transfer for Robust Audio-Visual Speech Recognition

MIR-GAN: Refining Frame-Level Modality-Invariant Representations with Adversarial Network for Audio-Visual Speech Recognition

Non-Repeatable Experiments and Non-Reproducible Results: The Reproducibility Crisis in Human Evaluation in NLP

MetaPro Online:: A computational metaphor processing online system

Gradient Remedy for Multi-Task Learning in End-to-End Noise-Robust Speech Recognition

Consultation Response to the UK Government’s Policy Proposals on AI Regulation: A Pro-Innovation Approach

Influence of context on users’ views about explanations for decision-tree predictions

Cross-Modal Global Interaction and Local Alignment for Audio-Visual Speech Recognition

Evaluating factual accuracy in complex data-to-text