An Overview of Techniques for Biomarker Discovery in Voice Signal
Sound
2021-10-12 v1 Artificial Intelligence
Audio and Speech Processing
Abstract
This paper reflects on the effect of several categories of medical conditions on human voice, focusing on those that may be hypothesized to have effects on voice, but for which the changes themselves may be subtle enough to have eluded observation in standard analytical examinations of the voice signal. It presents three categories of techniques that can potentially uncover such elusive biomarkers and allow them to be measured and used for predictive and diagnostic purposes. These approaches include proxy techniques, model-based analytical techniques and data-driven AI techniques.
Keywords
Cite
@article{arxiv.2110.04678,
title = {An Overview of Techniques for Biomarker Discovery in Voice Signal},
author = {Rita Singh and Ankit Shah and Hira Dhamyal},
journal= {arXiv preprint arXiv:2110.04678},
year = {2021}
}
Comments
Last two authors contributed equally to the paper