Speech Emotion Recognition (SER) is a hot research topic in the field of Human Computer Interaction. In this paper a SER system is developed with the aim of providing a classification of the “state of interest” of a human subject involved in a job interview. Classification of emotions is performed by analyzing the speech produced during the interview. The presented methods and results show just preliminary conclusions, as the work is part of a larger project including also analysis, investigation and classification of facial expressions and body gestures during human interaction. At the current state of the work, investigation is carried out by using software tools already available for free on the web; furthermore, the features extracted from the audio tracks are analyzed by studying their sensitivity to an audio compression stage. The Berlin Database of Emotional Speech (EmoDB) is exploited to provide the preliminary results.
@incollection{
year={2013},
isbn={978-3-642-39481-2},
booktitle={Intelligent Computing Theories and Technology},
volume={7996},
series={Lecture Notes in Computer Science},
editor={Huang, De-Shuang and Jo, Kang-Hyun and Zhou, Yong-Quan and Han, Kyungsook},
doi={10.1007/978-3-642-39482-9_76},
title={First Progresses in Evaluation of Resonance in Staff Selection through Speech Emotion Recognition},
url={http://dx.doi.org/10.1007/978-3-642-39482-9_76},
publisher={Springer Berlin Heidelberg},
keywords={Emotional Speech Classification; Emotion Recognition; Acoustic Features Extraction},
author={Bevilacqua, Vitoantonio and Guccione, Pietro and Mascolo, Luigi and Pazienza, PasqualePio and Salatino, AngeloAntonio and Pantaleo, Michele},
pages={658-671},
language={English}
}
[English] With this article I want to publish my thesis work in Human-Computer Interaction, for the Master's Degree in Computer Systems Engineering at Polytechnic of Bari. The entire thesis has been written in Italian. For this reason, I have prepared a English brief summary explaining all materials, methods, results and conclusions. Use the following link to read the abstract: My Thesis Abstract.pdf. [Italiano] Titolo in…
Authors: Vitoantonio Bevilacqua, Angelo Antonio Salatino, Carlo Di Leo, Dario D’Ambruoso, Marco Suma, Donato Barone, Giacomo Tattoli, Domenico Campagna, Fabio Stroppa, Michele Pantaleo Abstract: In this paper we present the results of an experimental Italian research project finalized to support the classification process of the two behavioural status (resonance and dissonance) of a candidate applying for a job position. The proposed framework is based on an innovative system designed and implemented to extract…
Secure Login nasce come progetto accademico, nonché tema d’anno del modulo di Sicurezza Informatica, dove si è proposti di creare un software che garantisca l’accesso sicuro ad un sistema attraverso il riconoscimento vocale. Uno scenario tipico che meglio rappresenta l’idea di questo progetto è descritto dall’accesso controllato ad un azienda dove i dipendenti devono registrare i loro ingressi e le loro uscite attraverso le proprie…