سال انتشار: ۱۳۹۰

محل انتشار: نوزدهمین کنفرانس مهندسی برق ایران

تعداد صفحات: ۵

نویسنده(ها):

Naghmeh Moradi – Faculty of Engineering, University of Guilan, Rasht, Iran
Babak Nasersharif – Audio and Speech Processing Lab, Computer Engineering Department, Iran University of Science and Technology, Tehran,
Ahmad Akbari – Audio and Speech Processing Lab, Computer Engineering Department, Iran University of Science andTechnology, Tehran

چکیده:

Filtering approaches in spectral domain and features domain have been shown their effectiveness for robust speech recognition. In this paper, we propose a two step filtering method. In the first step, spectral subtraction filter is applied to speech spectrum. In the second step, we design a temporal structure normalization filter in order to apply to features extracted from the filtered spectrum. Our results on Aurora2 show that the proposed method has higher recognition rate than both of spectral subtraction and temporal filtering methods