most citedDetecting Escalation Level from Speech with Transfer Learning and Acoustic-Lexical Information Fusion

1 citations · 1 across the 5 of their papers we have counts for

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5 papers

eess.AS2026

Exploring Second-Order Pattern Recognition in Speaker Recognition

Yanze Xu, Wenwu Wang, Mark D. Plumbley

In traditional pattern recognition tasks, neural networks are trained to recognise human-defined patterns (e.g. audio categories) in model inputs (e.g. audio). Meanwhile, some Expl…

eess.AS2026

Explainable AI in Speaker Recognition -- Attention Map Visualisation and Evaluation

Yanze Xu, Mark D. Plumbley, Wenwu Wang

Explaining and understanding the decision-making process of artificial intelligence (AI) systems, particularly those implemented by neural networks, falls within the field of expla…

eess.AS2026

Explainable AI in Speaker Recognition -- Making Latent Representations Understandable

Yanze Xu, Wenwu Wang, Mark D. Plumbley

Neural networks can be trained to learn task-relevant representations from data. Understanding how these networks make decisions falls within the Explainable AI (XAI) domain. This…

cs.SD2021

Lightweight Dual-channel Target Speaker Separation for Mobile Voice Communication

Yuanyuan Bao, Yanze Xu, Na Xu +7

Nowadays, there is a strong need to deploy the target speaker separation (TSS) model on mobile devices with a limitation of the model size and computational complexity. To better p…

cs.SD2021★ 1 cited

Detecting Escalation Level from Speech with Transfer Learning and Acoustic-Lexical Information Fusion

Ziang Zhou, Yanze Xu, Ming Li

Textual escalation detection has been widely applied to e-commerce companies' customer service systems to pre-alert and prevent potential conflicts. Similarly, in public areas such…