Best Features for Emotional Speech Classification in the Presence of Babble Noise
Publish place: 20th Iranian Conference on Electric Engineering
Publish Year: 1391
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
ICEE20_021
تاریخ نمایه سازی: 14 مرداد 1391
Abstract:
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
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Authors
Salman Karimi
Dept. of Electrical Engineering Sahand University of Technology Tabriz, Iran