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.

Authors: Drosos, Konstantinos; Floros, Andreas; Agavanakis, Kyriakos; Tatlas, Nicolas-Alexander; Kanellopoulos, Nikolaos-Grigorios
Affiliations: BlueDev Ltd., Patras, Greece; Ionian University, Corfu, Greece; Technological Educational Institute of Piraeus, Piraeus, Greece(See document for exact affiliation information.)
AES Convention: 132 (April 2012) Paper Number: 8615
Publication Date: April 26, 2012 Import into BibTeX
Subject: Analysis and Synthesis
Permalink: https://www.aes.org/e-lib/browse.cfm?elib=16253

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