Towards interpretable speech biomarkers: exploring MFCCs
Abstract While speech biomarkers of disease have attracted increased interest in recent years, a challenge is that features derived from signal processing or machine learning approaches may lack clinical interpretability. As an example, Mel frequency cepstral coefficients (MFCCs) have been identifie...
| Published in: | Scientific Reports |
|---|---|
| Main Authors: | , , , , , , , , , |
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2023-12-01
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| Online Access: | https://doi.org/10.1038/s41598-023-49352-2 |