Detecting Wilson's disease from unstructured connected speech: An embedding-based approach augmented by attention and bi-directional dependency

Author:

Zhang Zhenglin,Yang Li-Zhuang,Wang Xun,Wang Hongzhi,Wong Stephen T.C.,Li HaiORCID

Publisher

Elsevier BV

Subject

Computer Science Applications,Computer Vision and Pattern Recognition,Linguistics and Language,Language and Linguistics,Communication,Modeling and Simulation,Software

Reference48 articles.

1. Wilson disease;Aggarwal;Curr. Opin. Neurol.,2020

2. Wilson's disease;Ala;Lancet,2007

3. The reproducibility of bio-acoustic features is associated with sample duration, speech task, and gender;Almaghrabi;IEEE Trans. Neural Syst. Rehabil. Eng.,2022

4. Baevski, A., Zhou, Y., Mohamed, A., Auli, M., 2020. Wav2vec 2.0: A framework for self-supervised learning of speech representations. In: Adv. Neural Inf. Process. Syst., pp. 12449–12460. Vancouver, Canada. https://doi.org/https://arxiv.org/abs/2006.11477v3.

5. Comparing pre-trained and feature-based models for prediction of alzheimer's disease based on speech;Balagopalan;Front. Aging Neurosci.,2021

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