TY - GEN
T1 - Real-time spoken affect classification and its application in call-centres
AU - Morrison, Donn
AU - Wang, Ruili
AU - De Sislva, Liyanage C.
AU - Xu, W. L.
PY - 2005
Y1 - 2005
N2 - We propose a novel real-time affect classification system based on features extracted from the acoustic speech signal. The proposed system analyses the speech signal and provides a real-time classification of the speaker's perceived affective state. A neural network is trained and tested using a database of 391 authentic emotional utterances from 11 speakers. Two emotions, anger and neutral, are considered. The system is designed to be speaker and text-independent and is to be deployed in a call-centre environment to assist in the handling of customer inquiries. We achieve a success rate of 80.1% accuracy in our preliminary results.
AB - We propose a novel real-time affect classification system based on features extracted from the acoustic speech signal. The proposed system analyses the speech signal and provides a real-time classification of the speaker's perceived affective state. A neural network is trained and tested using a database of 391 authentic emotional utterances from 11 speakers. Two emotions, anger and neutral, are considered. The system is designed to be speaker and text-independent and is to be deployed in a call-centre environment to assist in the handling of customer inquiries. We achieve a success rate of 80.1% accuracy in our preliminary results.
UR - https://www.scopus.com/pages/publications/33646820641
U2 - 10.1109/ICITA.2005.231
DO - 10.1109/ICITA.2005.231
M3 - Conference contribution
AN - SCOPUS:33646820641
SN - 0769523161
SN - 9780769523163
T3 - Proceedings - 3rd International Conference on Information Technology and Applications, ICITA 2005
SP - 483
EP - 487
BT - Proceedings - 3rd International Conference on Information Technology and Applications, ICITA 2005
T2 - 3rd International Conference on Information Technology and Applications, ICITA 2005
Y2 - 4 July 2005 through 7 July 2005
ER -