Origlia, Antonio (2013) Syllable based speech analysis fo affective robotics. [Tesi di dottorato]

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Item Type: Tesi di dottorato
Lingua: English
Title: Syllable based speech analysis fo affective robotics
Creators:
CreatorsEmail
Origlia, Antonioantonio.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:
nomeemail
Moscariello, GiocondaUNSPECIFIED
Tutor:
nomeemail
Burattini, ErnestoUNSPECIFIED
Cutugno, Francescocutugno@unina.it
Date: 1 April 2013
Number of Pages: 176
Uncontrolled 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

Abstract

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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