Please use this identifier to cite or link to this item:
http://hdl.handle.net/10071/23223
Author(s): | Lerner, A. Silber-Varod, V. Batista, F. Moniz, H. |
Editor: | Barnes, J., Brugos, A., Shattuck-Hufnagel, S., and Veilleux, N. |
Date: | 2016 |
Title: | In search of the role’s footprints in client-therapist dialogues |
Pages: | 400 - 404 |
Event title: | 8th Speech Prosody 2016 |
ISSN: | 2333-2042 |
DOI (Digital Object Identifier): | 10.21437/SpeechProsody.2016-82 |
Keywords: | Role identification Client-therapist dialogue Speech analysis Acoustic features Machine learning |
Abstract: | 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). Four interns were involved in four genuine client-therapist treatment sessions, where each individual had to train her therapeutic skills on her colleague that, in her turn, participated as a client. This uniform setting provided a unique opportunity to examine how role affects speaker's prosody. By a collection of machine learning algorithms, we tested automatic classification of the role across sessions. Results based on the acoustic properties show high classification rates, suggesting that there are discriminative acoustic features of speaker's role, as either a therapist or a client. |
Peerreviewed: | yes |
Access type: | Open Access |
Appears in Collections: | CRIA-CRI - Comunicações a conferências internacionais |
Files in This Item:
File | Description | Size | Format | |
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conferenceobject_28923.pdf | Versão Editora | 167,69 kB | Adobe PDF | View/Open |
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