Home / Publications / E-library page
Only AES members and Institutional Journal Subscribers can download
Detection is usually carried out following the Neyman-Pearson criterion to maximize the probability of detection (true positives rate), maintaining the probability of false alarm (false positives rate) below a given threshold. When the classes are unbalanced, the performance cannot be measured just in terms of true positives and false positives rates, and new metrics must be introduced, such as Precision. “Anger detection” in Interactive Voice Response (IVR) systems is one application where precision is important. In this paper a cost function for features selection to maximize precision in anger detection applications is presented. The method has been proved with a real database obtained by recording calls managed by an IVR system, demonstrating its suitability.
Author (s): Mohíno-Herranz, Inma; Llerena-Aguilar, Sr., Cosme; García-Gómez, Joaquín; Utrilla-Manso, Manuel; Rosa-Zurera, Manuel
Affiliation:
University of Alcalá, Alcalá de Henares, Madrid, Spain
(See document for exact affiliation information.)
AES Convention: 145
Paper Number:10090
Publication Date:
2018-10-06
Import into BibTeX
Session subject:
Applications in Audio
Permalink: https://aes2.org/publications/elibrary-page/?id=19816
(305KB)
Click to purchase paper as a non-member or login as an AES member. If your company or school subscribes to the E-Library then switch to the institutional version. If you are not an AES member Join the AES. If you need to check your member status, login to the Member Portal.
Mohíno-Herranz, Inma; Llerena-Aguilar, Sr., Cosme; García-Gómez, Joaquín; Utrilla-Manso, Manuel; Rosa-Zurera, Manuel; 2018; Precision Maximization in Anger Detection in Interactive Voice Response Systems [PDF]; University of Alcalá, Alcalá de Henares, Madrid, Spain; Paper 10090; Available from: https://aes2.org/publications/elibrary-page/?id=19816
Mohíno-Herranz, Inma; Llerena-Aguilar, Sr., Cosme; García-Gómez, Joaquín; Utrilla-Manso, Manuel; Rosa-Zurera, Manuel; Precision Maximization in Anger Detection in Interactive Voice Response Systems [PDF]; University of Alcalá, Alcalá de Henares, Madrid, Spain; Paper 10090; 2018 Available: https://aes2.org/publications/elibrary-page/?id=19816
@article{mohíno-herranz2018precision,
author={mohíno-herranz inma and llerena-aguilar sr. cosme and garcía-gómez joaquín and utrilla-manso manuel and rosa-zurera manuel},
journal={journal of the audio engineering society},
title={precision maximization in anger detection in interactive voice response systems},
year={2018},
number={10090},
month={october},}
TY – paper
TI – Precision Maximization in Anger Detection in Interactive Voice Response Systems
AU – Mohíno-Herranz, Inma
AU – Llerena-Aguilar, Sr., Cosme
AU – García-Gómez, Joaquín
AU – Utrilla-Manso, Manuel
AU – Rosa-Zurera, Manuel
PY – 2018
JO – Journal of the Audio Engineering Society
VL – 10090
Y1 – October 2018