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cs.SD2024
ParaLBench: A Large-Scale Benchmark for Computational Paralinguistics over Acoustic Foundation Models
Zixing Zhang, Weixiang Xu, Zhongren Dong +5
Computational paralinguistics (ComParal) aims to develop algorithms and models to automatically detect, analyze, and interpret non-verbal information from speech communication, e.…
cs.SD2024
Re-Parameterization of Lightweight Transformer for On-Device Speech Emotion Recognition
Zixing Zhang, Zhongren Dong, Weixiang Xu +1
With the increasing implementation of machine learning models on edge or Internet-of-Things (IoT) devices, deploying advanced models on resource-constrained IoT devices remains cha…
cs.SD2024
HAFFormer: A Hierarchical Attention-Free Framework for Alzheimer's Disease Detection From Spontaneous Speech
Zhongren Dong, Zixing Zhang, Weixiang Xu +3
Automatically detecting Alzheimer's Disease (AD) from spontaneous speech plays an important role in its early diagnosis. Recent approaches highly rely on the Transformer architectu…