Few-shot learning of Parkinson’s disease speech data with optimal convolution sparse kernel transfer learning-Reference-Cited by-同舟云学术

Few-shot learning of Parkinson’s disease speech data with optimal convolution sparse kernel transfer learning

Published:2021-08 Issue: Volume:69 Page:102850
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Zhang Xiaoheng,Ma Jie,Li Yongming,Wang Pin,Liu Yuchuan

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing

Reference47 articles.

1. Brief report: Knowledge of, interest in, and willingness to try behavioral interventions in individuals with Parkinson's disease;Benge;Adv. Mind-Body Med.,2018

2. Being in control of Parkinson's disease: A qualitative study of community-dwelling patients' coping with changes in care;Plouvier;Eur. J. General Pract.,2018

3. The impact of lexical characteristics and noise on intelligibility of parkinsonian speech;Chiu;J. Speech Lang. Hearing Res.,2018

4. M. Pettorino, M. G. Busà, and E. Pellegrino, “Speech rhythm in Parkinson's disease: A study on Italian,” in Proc. Annu. Conf. Int. Speech Commun. Assoc., San Francisco, USA, 2016, pp. 1958–1961.

5. Prosodic analysis of neutral, stress-modified and rhymed speech in patients with Parkinson's disease;Galaz;Comput. Methods Programs Biomedicine,2016

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Differentiation of speech in Parkinson’s disease and spinocerebellar degeneration using deep neural networks;Journal of Neurology;2023-11-21

2. DetParWav: Parkinson’s Disease Detection from Wavelet Features with Machine Learning Approach Using PCA and Mutual Information Gain;2023 4th IEEE Global Conference for Advancement in Technology (GCAT);2023-10-06

3. A novel feature extraction method based on TQWT and instantaneous energy variation for Parkinson’s disease detection;Biomedical Signal Processing and Control;2023-08

4. Voice feature description of Parkinson’s disease based on co-occurrence direction attribute topology;Engineering Applications of Artificial Intelligence;2023-06

5. Machine learning- and statistical-based voice analysis of Parkinson’s disease patients: A survey;Expert Systems with Applications;2023-06