Origlia, Antonio (2013) Syllable based speech analysis fo affective robotics. [Tesi di dottorato]
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| Item Type: | Tesi di dottorato |
|---|---|
| Resource language: | English |
| Title: | Syllable based speech analysis fo affective robotics |
| Creators: | Creators Email Origlia, Antonio antonio.origlia@unina.it |
| Date: | 1 April 2013 |
| Number of Pages: | 176 |
| Institution: | Università degli Studi di Napoli Federico II |
| Department: | Fisica |
| Scuola di dottorato: | Scienze matematiche e informatiche |
| Dottorato: | Scienze computazionali e informatiche |
| Ciclo di dottorato: | 25 |
| Coordinatore del Corso di dottorato: | nome email Moscariello, Gioconda UNSPECIFIED |
| Tutor: | nome email Burattini, Ernesto UNSPECIFIED Cutugno, Francesco cutugno@unina.it |
| Date: | 1 April 2013 |
| Number of Pages: | 176 |
| Keywords: | Affective computing, speech processing, prosodic analysis, social robotics |
| Settori scientifico-disciplinari del MIUR: | Area 01 - Scienze matematiche e informatiche > INF/01 - Informatica |
| Date Deposited: | 04 Apr 2013 11:25 |
| Last Modified: | 19 Nov 2014 09:59 |
| URI: | http://www.fedoa.unina.it/id/eprint/9152 |
| DOI: | 10.6092/UNINA/FEDOA/9152 |
Collection description
This work presents a speech intonation processing method based on phonetic syllables and optimal pitch stylization and applied to dimensional and continuous emotion tracking. After presenting the automatic segmentation and stylization algorithms, experiments performed on emotional speech corpora show that results are competitive with the state of the art on dimensional emotion recognition and that continuous tracking is stable for the Activation axis. A real time porting of the analysis method is presented in a robotics setup where the behavior of the robot mimics the detected emotional state of a human user.
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