Sunderland Repository records the research produced by the University of Sunderland including practice-based research and theses.
Up a level |
Huang, Qiang (2024) Who is Authentic Speaker? In: 2024 29th International Conference on Automation and Computing (ICAC). IEEE, pp. 1-6. ISBN 979-8-3503-6088-2
Huang, Qiang (2024) Who is Authentic Speaker? In: The 29th International Conference on Automation and Computing (ICAC 2024). IEEE. (In Press)
Barakat, Basel and Huang, Qiang (2023) Enhancing Transfer Learning Reliability via Block-wise Fine-tuning. In: 22nd IEEE International Conference on Machine Learning and Applications ICMLA 2023. IEEE, pp. 414-421. ISBN 979-8-3503-4534-6
Barakat, Basel and Huang, Qiang (2023) Improving Reliability of Fine-tuning with Block-wise Optimisation. In: 22nd International Conference on Machine Learning and Applications, 15-17 Dec 2023, Florida, USA. (In Press)
Huang, Qiang (2021) Improving audio anomalies recognition using temporal convolutional attention networks. In: ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, pp. 6473-6477. ISBN 978-1-7281-7605-5
Shi, Yanpei, Huang, Qiang and Hain, Thomas (2021) H-VECTORS: Improving the robustness in utterance-level speaker embeddings using a hierarchical attention model. Neural Networks, 142. pp. 329-339. ISSN 0893-6080