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6 results on '"Kang, Jiawen"'

3. Integrated and Enhanced Pipeline System to Support Spoken Language Analytics for Screening Neurocognitive Disorders

Author

Meng, Helen, primary, Mak, Brian, additional, Mak, Man-Wai, additional, Fung, Helene, additional, Gong, Xianmin, additional, Kwok, Timothy, additional, Liu, Xunying, additional, Mok, Vincent, additional, Wong, Patrick, additional, Woo, Jean, additional, Wu, Xixin, additional, Wong, Ka Ho, additional, Xu, Shensheng, additional, Zheng, Naijun, additional, Huang, Ranzo, additional, Kang, Jiawen, additional, Ke, Xiaoquan, additional, Li, Junan, additional, Li, Jinchao, additional, and Wang, Yi, additional

Published
2023
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4. Spoofing-Aware Speaker Verification by Multi-Level Fusion

Author

Wu, Haibin, Meng, Lingwei, Kang, Jiawen, Li, Jinchao, Li, Xu, Wu, Xixin, Lee, Hung-yi, and Meng, Helen

Subjects
Computer Science - Machine Learning, Computer Science - Sound, Electrical Engineering and Systems Science - Audio and Speech Processing
Abstract

Recently, many novel techniques have been introduced to deal with spoofing attacks, and achieve promising countermeasure (CM) performances. However, these works only take the stand-alone CM models into account. Nowadays, a spoofing aware speaker verification (SASV) challenge which aims to facilitate the research of integrated CM and ASV models, arguing that jointly optimizing CM and ASV models will lead to better performance, is taking place. In this paper, we propose a novel multi-model and multi-level fusion strategy to tackle the SASV task. Compared with purely scoring fusion and embedding fusion methods, this framework first utilizes embeddings from CM models, propagating CM embeddings into a CM block to obtain a CM score. In the second-level fusion, the CM score and ASV scores directly from ASV systems will be concatenated into a prediction block for the final decision. As a result, the best single fusion system has achieved the SASV-EER of 0.97% on the evaluation set. Then by ensembling the top-5 fusion systems, the final SASV-EER reached 0.89%., Comment: Submitted to Interspeech 2022

Published
2022

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