Utilize este identificador para referenciar este registo:
http://hdl.handle.net/10071/23223
Autoria: | Lerner, A. Silber-Varod, V. Batista, F. Moniz, H. |
Editor: | Barnes, J., Brugos, A., Shattuck-Hufnagel, S., and Veilleux, N. |
Data: | 2016 |
Título próprio: | In search of the role’s footprints in client-therapist dialogues |
Paginação: | 400 - 404 |
Título do evento: | 8th Speech Prosody 2016 |
ISSN: | 2333-2042 |
DOI (Digital Object Identifier): | 10.21437/SpeechProsody.2016-82 |
Palavras-chave: | Role identification Client-therapist dialogue Speech analysis Acoustic features Machine learning |
Resumo: | 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. |
Arbitragem científica: | yes |
Acesso: | Acesso Aberto |
Aparece nas coleções: | CRIA-CRI - Comunicações a conferências internacionais |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
---|---|---|---|---|
conferenceobject_28923.pdf | Versão Editora | 167,69 kB | Adobe PDF | Ver/Abrir |
Todos os registos no repositório estão protegidos por leis de copyright, com todos os direitos reservados.