Effect of negative and positive emotions on the fundamental frequency and formants

被引：3

作者：

Agrima, A. ^{[1
]}

Elmazouzi, L. ^{[2
]}

Mounir, I. ^{[2
]}

Farchi, A. ^{[1
]}

机构：

[1] Univ Hassan First, Fac Sci & Tech, IMII Lab, Settat, Morocco

[2] Univ Cadi Ayyad, Grad Sch Technol, LAPSSII Lab, Safi, Morocco

来源：

ICCWCS'17: PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON COMPUTING AND WIRELESS COMMUNICATION SYSTEMS | 2017年

关键词：

Emotion; Classification; learning machine algorithms; Speech Processing; Fundamental frequency; Formants; SPEECH;

D O I：

10.1145/3167486.3167504

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

The speech signal provides rich information about the speaker's emotional state. Therefore, this article provides an experimental study and examines the detection of negative emotion (Sadness) and positive emotion (Joy) with regard to the neutral emotional state. The data set is collected from speeches recorded in the Moroccan Arabic dialect. Our aim is first to study the effects of emotion on the selected acoustic characteristics, namely the first four formants F1, F2, F3, F4, the fundamental frequency FO, and then compare our results to previous works. We also study the influence of speaker gender on the relevance of these characteristics in the detection of emotion. The main tool is classification algorithms using the WEKA software. We found that FO presents the best rates of recognition regardless speaker gender.

引用

页数：5

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