| Tipo di prodotto | Articolo in rivista |
|---|---|
| Titolo | Towards a model of arousal change after affective word pronunciation based on electrodermal activity and speech analysis |
| Anno di pubblicazione | 2021 |
| Formato | Elettronico |
| Autore/i | Marzi C., Greco A., Scilingo E.P., Vanello N. |
| Affiliazioni autori | Istituto di Linguistica Computazionale, CNR; Dipartimento di Ingegneria dell'informazione, UNIPI; Centro di Ricerca "Piaggio" |
| Autori CNR e affiliazioni |
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| Lingua/e |
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| Abstract | In this paper, we explore the possibility of building a model of subject arousal by exploiting the acquisition and the analysis of speech and electrodermal activity (EDA). Several issues have to be addressed to reach this goal as the estimation of the relationship between arousal and behavioral measures and the reliability of EDA signal during speech production. To accomplish this task, we will investigate the relation among EDA, speech activity and subject arousal, during isolated affective word pronunciation. Our results show that significant information on subject arousal can be obtained by analyzing EDA during the processing of out-of-context words with an emotional content in a reading aloud task. Based on a sample of eighteen Italian participants, we observed a significant relation between EDA features and self-reported arousal scores. Quantitative models relating EDA and speech-derived features are proposed and discussed. We found that increasing values of tonic and phasic components of EDA signals correspond to increasing self-assessed arousal scores; Mel-frequency cepstral analysis of speech was also shown to carry relevant information about subject arousal, with a significant inverse relation to self-assessed scores. Our results suggest how the analysis of concurrent acquisition of EDA and speech features may offer a valid approach for the prediction of subject arousal during speech production, as well as a method for validating self-assessment ratings themselves. |
| Lingua abstract | inglese |
| Altro abstract | - |
| Lingua altro abstract | - |
| Pagine da | 1 |
| Pagine a | 8 |
| Pagine totali | 8 |
| Rivista | Biomedical signal processing and control (Print) Attiva dal 2006 Editore: Elsevier, - Oxford Paese di pubblicazione: Regno Unito Lingua: inglese ISSN: 1746-8094 Titolo chiave: Biomedical signal processing and control (Print) Titolo proprio: Biomedical signal processing and control. (Print) Titolo abbreviato: Biomedical signal processing control (Print) |
| Numero volume della rivista | 67 |
| Fascicolo della rivista | 102517 |
| DOI | 10.1016/j.bspc.2021.102517 |
| Verificato da referee | Sì: Internazionale |
| Stato della pubblicazione | Published version |
| Indicizzazione (in banche dati controllate) | - |
| Parole chiave | speech, electrodermal activity, statistical models, arousal, word pronunciation |
| Link (URL, URI) | http://www.elsevier.com/locate/bspc |
| Titolo parallelo | - |
| Licenza | - |
| Scadenza embargo | 5/09/2022 |
| Data di accettazione | 18/02/2021 |
| Note/Altre informazioni | - |
| Strutture CNR |
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| Moduli/Attività/Sottoprogetti CNR |
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| Progetti Europei | - |
| Allegati | MAVEBA_2021 (documento privato ) Descrizione: Marzi_et_al_2021_published Tipo documento: application/pdf |
