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Emergency Voice/Stress - level Combined Recognition for Intelligent House Applications

Tutkimustuotos

Standard

Emergency Voice/Stress - level Combined Recognition for Intelligent House Applications. / Drossos, Konstantinos; Floros, Andreas; Agavanakis, Kyriakos; Tatlas, Nicolas-Alexander; Kanellopoulos, Nikolaos.

Audio Engineering Society Convention 132. AES Audio Engineering Society, 2012.

Tutkimustuotos

Harvard

Drossos, K, Floros, A, Agavanakis, K, Tatlas, N-A & Kanellopoulos, N 2012, Emergency Voice/Stress - level Combined Recognition for Intelligent House Applications. julkaisussa Audio Engineering Society Convention 132. AES Audio Engineering Society.

APA

Drossos, K., Floros, A., Agavanakis, K., Tatlas, N-A., & Kanellopoulos, N. (2012). Emergency Voice/Stress - level Combined Recognition for Intelligent House Applications. teoksessa Audio Engineering Society Convention 132 AES Audio Engineering Society.

Vancouver

Drossos K, Floros A, Agavanakis K, Tatlas N-A, Kanellopoulos N. Emergency Voice/Stress - level Combined Recognition for Intelligent House Applications. julkaisussa Audio Engineering Society Convention 132. AES Audio Engineering Society. 2012

Author

Drossos, Konstantinos ; Floros, Andreas ; Agavanakis, Kyriakos ; Tatlas, Nicolas-Alexander ; Kanellopoulos, Nikolaos. / Emergency Voice/Stress - level Combined Recognition for Intelligent House Applications. Audio Engineering Society Convention 132. AES Audio Engineering Society, 2012.

Bibtex - Lataa

@inproceedings{853ad4bb1d564cbd853455ec069d05fd,
title = "Emergency Voice/Stress - level Combined Recognition for Intelligent House Applications",
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.",
author = "Konstantinos Drossos and Andreas Floros and Kyriakos Agavanakis and Nicolas-Alexander Tatlas and Nikolaos Kanellopoulos",
year = "2012",
month = "4",
language = "English",
booktitle = "Audio Engineering Society Convention 132",
publisher = "AES Audio Engineering Society",

}

RIS (suitable for import to EndNote) - Lataa

TY - GEN

T1 - Emergency Voice/Stress - level Combined Recognition for Intelligent House Applications

AU - Drossos, Konstantinos

AU - Floros, Andreas

AU - Agavanakis, Kyriakos

AU - Tatlas, Nicolas-Alexander

AU - Kanellopoulos, Nikolaos

PY - 2012/4

Y1 - 2012/4

N2 - 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.

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.

M3 - Conference contribution

BT - Audio Engineering Society Convention 132

PB - AES Audio Engineering Society

ER -