Affective speech interface in serious games for supporting therapy of mental disorders

作者：Kostoulas Theodoros^*; Mporas Losif; Kocsis Otilia; Ganchev Todor; Katsaounos Nikos; Santamaria Juan J; Jimenez Murcia Susana; Fernandez Aranda Fernando; Fakotakis Nikos

来源：Expert Systems with Applications, 2012, 39(12): 11072-11079.

DOI：10.1016/j.eswa.2012.03.067

• Speech interface
• Serious games
• Mental disorders
• Emotion recognition
• Affect recognition
• Speech recognition

We describe a novel design, implementation and evaluation of a speech interface, as part of a platform for the development of serious games. The speech interface consists of the speech recognition component and the emotion recognition from speech component. The speech interface relies on a platform designed and implemented to support the development of serious games, which supports cognitive-based treatment of patients with mental disorders. The implementation of the speech interface is based on the Olympus/RavenClaw framework. This framework has been extended for the needs of the specific serious games and the respective application domain, by integrating new components, such as emotion recognition from speech. The evaluation of the speech interface utilized purposely collected domain-specific dataset. The speech recognition experiments show that emotional speech moderately affects the performance of the speech interface. Furthermore, the emotion detectors demonstrated satisfying performance for the emotion states of interest, Anger and Boredom, and contributed towards successful modelling of the patient%26apos;s emotion status. The performance achieved for speech recognition and for the detection of the emotional states of interest was satisfactory. Recent evaluation of the serious games showed that the patients started to show new coping styles with negative emotions in normal stress life situations.

• 出版日期2012-9-15