Model Ensemble for Predicting Heart and Respiration Rate From Speech
Author:
Affiliation:
1. University of Milan, Milan, Italy
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Networks and Communications
Link
http://xplorestaging.ieee.org/ielx7/4236/10122637/10075451.pdf?arnumber=10075451
Reference20 articles.
1. Nonlinear feature based classification of speech under stress
2. Collaborative framework for automatic classification of respiratory sounds
3. Learning in Nonstationary and Evolving Environments
4. Transfer Learning for Improved Audio-Based Human Activity Recognition
5. MuSe 2021 Challenge
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4. Construction of a Motion Data Collection System for Mobile Device Heart Rate Monitoring;2023 International Conference on Integrated Intelligence and Communication Systems (ICIICS);2023-11-24
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