Stress Detection Through Speech Analysis

Kevin Tomba; Joel Dumoulin; Elena Mugellini; Omar Abou Khaled; Salah Hawila

Research.Publish.Connect.

*Please fill out at least one Field. *Value must be an number!

Title:
ISBN:
Year:
Acronym:
Subject:

Advanced Search Proceedings Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Title:
Author:
Affiliation:
Subject:

Advanced Search Papers Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Name:
Affiliation:
Country:
Conference:
Subject:

Advanced Search Authors Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Name:
Country:
Subject:

Advanced Search Affiliations Search

If you're looking for an exact phrase use quotation marks on text fields.

Proceedings

Proceedings Search *Please fill out at least one Field. *Value must be an number!

Title:
ISBN:
Year:
Acronym:
Subject:

Advanced Search Proceedings Search

If you're looking for an exact phrase use quotation marks on text fields.

Papers

Papers Search *Please fill out at least one Field.

Title:
Author:
Affiliation:
Subject:

Advanced Search Papers Search

If you're looking for an exact phrase use quotation marks on text fields.

Authors

Authors Search *Please fill out at least one Field.

Name:
Affiliation:
Country:
Conference:
Subject:

Advanced Search Authors Search

If you're looking for an exact phrase use quotation marks on text fields.

Advanced Search

Paper

Stress Detection Through Speech Analysis

Topics: Music, Speech and Audio Processing

In Proceedings of the 15th International Joint Conference on e-Business and Telecommunications - Volume 1 DCNET, ICE-B, OPTICS, SIGMAP and WINSYS: , 394-398, 2018 , Porto, Portugal

Authors: Kevin Tomba ¹ ; Joel Dumoulin ¹ ; Elena Mugellini ¹ ; Omar Abou Khaled ¹ and Salah Hawila ²

Affiliations: ¹ HumanTech Institute, HES-SO Fribourg, Fribourg and Switzerland ; ² AIR @ En-Japan, Tokyo and Japan

Keyword(s): Stress Detection, Speech Emotion Analysis, Audio Processing, Machine Learning.

Abstract: The work presented in this paper uses speech analysis to detect candidates stress during HR (human resources) screening interviews. Machine learning is used to detect stress in speech, using the mean energy, the mean intensity and Mel-Frequency Cepstral Coefficients (MFCCs) as classification features. The datasets used to train and test the classification models are the Berlin Emotional Database (EmoDB), the Keio University Japanese Emotional Speech Database (KeioESD) and the Ryerson Audio-Visual Database of Emotional Speech and Song (RAVDESS). The best results were obtained with Neural Networks with accuracy scores for stress detection of 97.98% (EmoDB), 95.83% (KeioESD) and 89.16% (RAVDESS).

CC BY-NC-ND 4.0

Guest: Register as new SciTePress user now for free.

SciTePress user: please login.

My Papers

You are not signed in, therefore limits apply to your IP address 3.133.119.247

In the current month:

Recent papers: 100 available of 100 total

2⁺ years older papers: 200 available of 200 total

Paper citation in several formats:

Tomba, K.; Dumoulin, J.; Mugellini, E.; Abou Khaled, O. and Hawila, S. (2018). Stress Detection Through Speech Analysis. In Proceedings of the 15th International Joint Conference on e-Business and Telecommunications - ICETE; ISBN 978-989-758-319-3; ISSN 2184-3236, SciTePress, pages 394-398. DOI: 10.5220/0006855805600564

@conference{icete18,
author={Kevin Tomba. and Joel Dumoulin. and Elena Mugellini. and Omar {Abou Khaled}. and Salah Hawila.},
title={Stress Detection Through Speech Analysis},
booktitle={Proceedings of the 15th International Joint Conference on e-Business and Telecommunications - ICETE},
year={2018},
pages={394-398},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006855805600564},
isbn={978-989-758-319-3},
issn={2184-3236},
}

TY - CONF

JO - Proceedings of the 15th International Joint Conference on e-Business and Telecommunications - ICETE
TI - Stress Detection Through Speech Analysis
SN - 978-989-758-319-3
IS - 2184-3236
AU - Tomba, K.
AU - Dumoulin, J.
AU - Mugellini, E.
AU - Abou Khaled, O.
AU - Hawila, S.
PY - 2018
SP - 394
EP - 398
DO - 10.5220/0006855805600564
PB - SciTePress