AES E-Library

K. Drosos, A. Floros, K. Agavanakis, N. Tatlas, and N. Kanellopoulos, "Emergency Voice/Stress-Level Combined Recognition for Intelligent House Applications," Paper 8615, (2012 April.). doi: K. Drosos, A. Floros, K. Agavanakis, N. Tatlas, and N. Kanellopoulos, "Emergency Voice/Stress-Level Combined Recognition for Intelligent House Applications," Paper 8615, (2012 April.). doi:
Abstract: Legacy technologies for word recognition can benefit from emerging affective voice retrieval, potentially leading to intelligent applications for smart houses enhanced with new features. In this work we introduce the implementation of a system, capable to react to common spoken words, taking into account the estimated vocal stress level, thus allowing the realization of a prioritized, affective aural interaction path. Upon the succesful word recognition and the corresponding stress level estimation, the system triggers particular affective-prioritized actions, defined within the application scope of an intelligent home environment. Application results show that the established affective interaction path significantly improves the ambient intelligence provided by an affective vocal sensor that can be easily integrated with any sensor-based home monitoring system.

@article{drosos2012emergency,
author={drosos, konstantinos and floros, andreas and agavanakis, kyriakos and tatlas, nicolas-alexander and kanellopoulos, nikolaos-grigorios},
journal={journal of the audio engineering society},
title={emergency voice/stress-level combined recognition for intelligent house applications},
year={2012},
volume={},
number={},
pages={},
doi={},
month={april},} @article{drosos2012emergency,
author={drosos, konstantinos and floros, andreas and agavanakis, kyriakos and tatlas, nicolas-alexander and kanellopoulos, nikolaos-grigorios},
journal={journal of the audio engineering society},
title={emergency voice/stress-level combined recognition for intelligent house applications},
year={2012},
volume={},
number={},
pages={},
doi={},
month={april},
abstract={legacy technologies for word recognition can benefit from emerging affective voice retrieval, potentially leading to intelligent applications for smart houses enhanced with new features. in this work we introduce the implementation of a system, capable to react to common spoken words, taking into account the estimated vocal stress level, thus allowing the realization of a prioritized, affective aural interaction path. upon the succesful word recognition and the corresponding stress level estimation, the system triggers particular affective-prioritized actions, defined within the application scope of an intelligent home environment. application results show that the established affective interaction path significantly improves the ambient intelligence provided by an affective vocal sensor that can be easily integrated with any sensor-based home monitoring system.},}

TY - paper
TI - Emergency Voice/Stress-Level Combined Recognition for Intelligent House Applications
SP - EP -
AU - Drosos, Konstantinos
AU - Floros, Andreas
AU - Agavanakis, Kyriakos
AU - Tatlas, Nicolas-Alexander
AU - Kanellopoulos, Nikolaos-Grigorios
PY - 2012
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - April 2012 TY - paper
TI - Emergency Voice/Stress-Level Combined Recognition for Intelligent House Applications
SP - EP -
AU - Drosos, Konstantinos
AU - Floros, Andreas
AU - Agavanakis, Kyriakos
AU - Tatlas, Nicolas-Alexander
AU - Kanellopoulos, Nikolaos-Grigorios
PY - 2012
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - April 2012
AB - Legacy technologies for word recognition can benefit from emerging affective voice retrieval, potentially leading to intelligent applications for smart houses enhanced with new features. In this work we introduce the implementation of a system, capable to react to common spoken words, taking into account the estimated vocal stress level, thus allowing the realization of a prioritized, affective aural interaction path. Upon the succesful word recognition and the corresponding stress level estimation, the system triggers particular affective-prioritized actions, defined within the application scope of an intelligent home environment. Application results show that the established affective interaction path significantly improves the ambient intelligence provided by an affective vocal sensor that can be easily integrated with any sensor-based home monitoring system.