In search of the role’s footprints in client-therapist dialogues

The goal of this research is to identify speaker's role via machine learning of broad acoustic parameters, in order to understand how an occupation, or a role, affects voice characteristics. The examined corpus consists of recordings taken under the same psychological paradigm (Process Work). F...

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Bibliographic Details
Main Author: Lerner, A. (author)
Other Authors: Silber-Varod, V. (author), Batista, F. (author), Moniz, H. (author)
Format: conferenceObject
Language:eng
Published: 2021
Subjects:
Role identification
Client-therapist dialogue
Speech analysis
Acoustic features
Machine learning
Online Access:http://hdl.handle.net/10071/23223
Country:Portugal
Oai:oai:repositorio.iscte-iul.pt:10071/23223

Internet

http://hdl.handle.net/10071/23223

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