Federated Intelligent Terminals Facilitate Stuttering Monitoring-Reference-Cited by-同舟云学术

Federated Intelligent Terminals Facilitate Stuttering Monitoring

Published:2023-06-04 Issue: Volume: Page:
ISSN:
Container-title:ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
language:
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Author:

Yu Yongzi¹,Qiu Wanyong¹,Quan Chen¹,Qian Kun¹,Wang Zhihua²,Ma Yu¹,Hu Bin¹,Schuller Björn W.³,Yamamoto Yoshiharu²

Affiliation:

1. Beijing Institute of Technology,Ministry of Education,Key Laboratory of Brain Health Intelligent Evaluation and Intervention,Beijing,China

2. The University of Tokyo,Graduate School of Education,Educational Physiology Laboratory,Japan

3. GLAM – Group on Language, Audio, & Music,Imperial College,London,UK

Funder

Ministry of Science and Technology

National Natural Science Foundation of China

Beijing Institute of Technology

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10094559/10094560/10097263.pdf?arnumber=10097263

Reference18 articles.

1. KSoF: The Kassel State of Fluency Dataset-A Therapy Centered Dataset of Stuttering;bayerl;arXiv preprint arXiv 2203 05383,2022

2. The ACM Multimedia 2022 Computational Paralinguistics Challenge

3. Machine learning–XGBoost analysis of language networks to classify patients with epilepsy

4. auDeep: Unsupervised Learning of Representations from Audio with Deep Recurrent Neural Networks;freitag;The Journal of Machine Learning Research,2017

5. From local explanations to global understanding with explainable AI for trees

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