Submit your paper : editorIJETjournal@gmail.com Paper Title : Emotion Detection using facial Expressions and speech recognition ISSN : 2395-1303 Year of Publication : 2022 10.5281/zenodo.7296075 MLA Style: -G. Harshitha , B. Apurva, CH. Nikhitha Emotion Detection using facial Expressions and speech recognition , Volume 8 - Issue 5 September - October 2022 International Journal of Engineering and Techniques (IJET) ,ISSN:2395-1303 , www.ijetjournal.org APA Style: -G. Harshitha , B. Apurva, CH. Nikhitha Emotion Detection using facial Expressions and speech recognition , Volume 8 - Issue 5 September - October 2022 International Journal of Engineering and Techniques (IJET) ,ISSN:2395-1303 , www.ijetjournal.org Abstract The main objective of paper is to detect the human emotion by using face expressions and speech recognition. Emotion recognition plays a crucial role in era of artificial intelligence. It is going to detect the emotion using body movements, Voice , Brain or Heart signals. Four emotions are classified by using these decision level approach and feature level integration those are Happiness, Sadness, Anger, Neutral. These emotions are detected by face marks. Reference [1] LS Zhao, Q Zhang, XP Wei. a groundwork Progress in Speech feeling Recognition. pc Application and analysis. 2009; 26(2): 428-432. [2] CW Huang, Y Zhao, Y Jin. A Study of sensible Speech feeling options Analysis and Recognition. physics and data Journal. 2011; 33(1): 112-116. [3] LL Xu, ZX Cai, MY Chen. A Study Review of feeling Feature Analysis and Recognition of Speech Signals.Circuits and Systems Journal. 2007; 12(4)YM Huang, GB Zhang, HB Liu. Emotion Detection Based on New Bimodal Fusion Algorithm. Journal of Tianjin [4] YM Huang, GB Zhang, HB Liu. feeling Detection supported New bimodal Fusion formula. Journal of Tientsin University. 2010; 43(12):1067-1072. [5] CW Huang, Y Jin, QY Huang. Mutil-Modal feeling Recognition supported Speech Signals and ECG. 2009;40(5): 895-900. [6] B Xie. A Study of Key Technologies on Mandarin Speech feeling Recognition. Zhejiang: Zhejiang University technology and Technology Major. 2006. [7] YM Huang, GB Zhang, X Li. Speech feeling Recognition Base on little Samples of world options and Weak-Scale Integration Strategy. Acoustics Journal. 2012; 37(3): 330-338. [8] LQ Fu, YB Wang, CJ Wang. Speech feeling Recognition supported Mutil- Feature Vectors. technology. 2009; 36(6): 231-234. [9] XQ Jiang, SY Cui, YH Yin. Speech feeling process within the Man- Machine Speech Interaction. Journal University of Jinan : Version of nature science. 2008; 22(4): 354-357. [10] YL Xue, X Mao, Y Guo. a groundwork Progress in facial features Recognition. Chinese Image and Graphic Journal. 2009; 14(5): 764-772. Keywords — Emotion Detection using facial Expressions and speech recognition |