33
Participants
Start Date
July 27, 2021
Primary Completion Date
December 31, 2024
Study Completion Date
December 31, 2024
Clinical evaluation of participants by means of Autism Diagnostic Observation Schedule
Clinical evaluation of participants by means of Autism Diagnostic Observation Schedule
audio signal dataset creation and validation; machine learning analysis, empirical evaluations
The project tests and adapts the technology developed at MIT for vocalization collection and labeling, and contributes to data gathering among Italian subjects (and their quality validation) in order to create a multi-cultural dataset and to enable cross-cultural studies and analyses. Next, the focus is placed on the analysis of harmonic features of the audio in the vocalizations of the dataset to identify recurring individual features and patterns corresponding to specific communications purposes or emotional states. Supervised and unsupervised machine learning approaches are developed and different machine learning algorithms will be compared to identify the most accurate ones for the project goal. Last, an exploratory evaluation of the vocalization-understanding machine learning model is conducted to test the usability and utility of the tool for vocalization interpretation.
Scientific Institute, IRCCS Eugenio Medea, Bosisio Parini
Politecnico di Milano
OTHER
Massachusetts Institute of Technology
OTHER
IRCCS Eugenio Medea
OTHER