Recognition of emotional state in Polish speech: comparison between human and automatic efficiency
BioID_MultiComm'09 Proceedings of the 2009 joint COST 2101 and 2102 international conference on Biometric ID management and multimodal communication
Automatic recognition of emotional state in Polish speech
Proceedings of the Third COST 2102 international training school conference on Toward autonomous, adaptive, and context-aware multimodal interfaces: theoretical and practical issues
Influence of speakers' emotional states on voice recognition scores
COST'10 Proceedings of the 2010 international conference on Analysis of Verbal and Nonverbal Communication and Enactment
Nonlinear dynamics characterization of emotional speech
Neurocomputing
| Hi-index | 0.00 |
The paper presents the state of the art review on emotional speech databases and designing of Polish database. The principles set for naturalness, choice of emotions, speakers selection, text material and validation procedure are presented. The six simulated emotional states: anger, sadness, happiness, fear, disgust, surprise plus neutral state were chosen for recording by speakers from three groups: professional actors, amateur actors and amateurs. Linguistic material consists of ten short everyday life sentences. Amateurs database recordings are completed and next step will be recordings of professional actors. The database of over two thousand amateur speakers utterances was recorded and validated by perception listeners forced choice. The results of emotion recognition and the influence of musical education, gender and nationality for the group of over two hundred listeners are presented.