سال انتشار: ۱۳۹۱

محل انتشار: بیستمین کنفرانس مهندسی برق ایران

تعداد صفحات: ۵

نویسنده(ها):

Salman Karimi – Dept. of Electrical Engineering Sahand University of Technology Tabriz, Iran
Mohammad Hossein Sedaaghi –

چکیده:

Hitherto, different efforts have been held for the recognition of emotional state of speakers. Most of these works are performed in clean environments. But, in the real world,there are different noise parameters such as cross-talk, car noise, awgn (especially in the transmission of sounds) and etc., whichdecrease the performance of classifiers. In this paper we look for features which have the best performance in the presence ofbabble noise. We carry out our evaluation on three emotional speech datasets