مقاله


کد مقاله : 139511231511464967

عنوان مقاله : Speech Emotion Recognition Based on Fusion Method

نشریه شماره : 17 Winter 2017

مشاهده شده : 136

فایل های مقاله :


نویسندگان

  نام و نام خانوادگی پست الکترونیک مرتبه علمی مدرک تحصیلی مسئول
1 Sara Motamed Samotamed@yahoo.com Teacher Assistant PhD
2 Saeed Setayeshi setayesh@aut.ac.ir Professor PhD
3 Azam Rabiee azrabiee@gmail.com - -
4 Arash Sharifi a.sharifi@srbiau.ac.ir - -

چکیده مقاله

Speech emotion signals are the quickest and most neutral method in individuals’ relationships, leading researchers to develop speech emotion signal as a quick and efficient technique to communicate between man and machine. This paper introduces a new classification method using multi-constraints partitioning approach on emotional speech signals. To classify the rate of speech emotion signals, the features vectors are extracted using Mel frequency Cepstrum coefficient (MFCC) and auto correlation function coefficient (ACFC) and a combination of these two models. This study found the way that features’ number and fusion method can impress in the rate of emotional speech recognition. The proposed model has been compared with MLP model of recognition. Results revealed that the proposed algorithm has a powerful capability to identify and explore human emotion.