Resources related to the paper submission "Towards interpretable speech biomarkers: explaining MFCC2", Tracey et al.
Uploaded resources include:
- feature_computation.py: core routines used to extract the features presented in the paper
- CLACfeatures.csv: extracted features for phonation data from the CLAC dataset