An overview of techniques for biomarker discovery in voice signal
Published in arXiv preprint arXiv:2110.04678, 2021
This paper provides a comprehensive survey of voice-based biomarker discovery methods. We review the current state of research on extracting health-related information from voice signals, including techniques for detecting various medical conditions such as respiratory diseases, neurological disorders, and mental health issues. The survey covers signal processing methods, machine learning approaches, and deep learning techniques that have been applied to identify acoustic biomarkers in human voice.
Recommended citation: @article{singh2021overview, title={An Overview of Techniques for Biomarker Discovery in Voice Signal}, author={Singh, Rita and Shah, Ankit and Dhamyal, Hira}, journal={arXiv preprint arXiv:2110.04678}, year={2021} }
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