Title :
Emotion recognition in speech using neural networks
Author :
Nicholson, Joy ; Takahashi, Kaxuhiko ; Nakatsu, Ryohci
Author_Institution :
ATR Media Integration & Commun. Res. Labs., Kyoto, Japan
Abstract :
Emotion recognition in speech is a topic on which little research has been done to date. In this paper, we discuss why emotion recognition in speech is an interesting and applicable research topic and present a system for emotion recognition using one-class-in-one neural networks. By using a large database of phoneme balanced words, our system is speaker and context independent. We achieve a recognition rate of approximately 50% when testing eight emotions
Keywords :
neural nets; speech processing; context independent system; emotion recognition; large phoneme balanced word database; one-class-in-one neural networks; speaker independent system; speech; Art; Databases; Emotion recognition; Humans; Intelligent networks; Large Hadron Collider; Natural languages; Neural networks; Speech recognition;
Conference_Titel :
Neural Information Processing, 1999. Proceedings. ICONIP '99. 6th International Conference on
Conference_Location :
Perth, WA
Print_ISBN :
0-7803-5871-6
DOI :
10.1109/ICONIP.1999.845644
