This repository provides additional materials for the final project of the Digital Humanities & Digital Knowledge Master Degree, that included the development of a python package designed for processing audio files and extracting acoustic biomarkers for the identification of neurocognitive disorder from speech. The objective of the work is to contribute to current research in the identification of linguistical manifestations of the illness, towards the creation of reliable and non-intrusive tools for its early detection.
The Notebooks directory contains the following materials:
- Voice Activity Detection (VAD) Evaluation
- Package demonstration
See a demonstration of the package using samples from the CLIPS corpus on the Google Colab Notebook.
