Deep Neural Network Embeddings for the Estimation of the Degree of Sleepiness-Reference-Cited by-同舟云学术

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Deep Neural Network Embeddings for the Estimation of the Degree of Sleepiness

Published:2021-06-06 Issue: Volume: Page:
ISSN:
Container-title:ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Author:

Egas-Lopez Jose Vicente,Gosztolya Gabor

Funder

Ministry for Innovation and Technology

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9413349/9413350/09413589.pdf?arnumber=9413589

Cited by 9 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. Automatic detection of sleepiness-related symptoms and syndromes using voice and speech biomarkers;Biomedical Signal Processing and Control;2024-05

2. “Prediction of Sleepiness Ratings from Voice by Man and Machine”: A Perceptual Experiment Replication Study;ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2023-06-04

3. Using Hybrid HMM/DNN Embedding Extractor Models in Computational Paralinguistic Tasks;Sensors;2023-05-30

4. Exploiting Relevance of Speech to Sleepiness Detection via Attention Mechanism;ICC 2023 - IEEE International Conference on Communications;2023-05-28

5. Using Custom X-vectors for the Automatic Screening of COVID-19 Based on Coughing Audio Samples;2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI);2023-05-23

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