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
Subject: Analysis and Synthesis

Click to purchase paper as a non-member or you can login as an AES member to see more options.

No AES members have commented on this paper yet.

Subscribe to this discussion

To be notified of new comments on this paper you can subscribe to this RSS feed. Forum users should login to see additional options.

Start a discussion!

If you would like to start a discussion about this paper and are an AES member then you can login here:
Username:
Password:

If you are not yet an AES member and have something important to say about this paper then we urge you to join the AES today and make your voice heard. You can join online today by clicking here.