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Speech analysis for mood status detection in bipolar patients

We developed a mood classification module for bipolar patients.

The module is integrated in a mobile application that records the patient activity and performs some tests. The module developed by the TALN team takes some sample speechs recorded by the user and analyses them in order to classify the mood status of the patient. The classification is done using prosodic features.

Principal researchers

Mireia Farrús


Joan Codina, Monica Dominguez, Ivan Latorre, Giorgia Cistola
The project founded by a subcontract signed with Pulso Ediciones, who participated in a call for tenders of the NYMPHA-MD european project with grant agreement no 610462