Open AccessSpeech emotion Recognition using Neural Networks
Author(s) -
C. Lakshmi Deepika,
P. Swetha,
Atulya K. Nagar
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.b1432.0982s1119
Subject(s) - emotion recognition , facial expression , emotion classification , speech recognition , computer science , identification (biology) , emotional expression , feature (linguistics) , cognition , affective computing , expression (computer science) , psychology , cognitive psychology , artificial intelligence , linguistics , philosophy , botany , neuroscience , biology , programming language
Emotion recognition is a procedure to identify the human emotion, the identification criteria may be facial expression analysis or may be verbal expression. Emotion plays a vital role in all aspects of cognitive learning processes. Identification of emotion from human expressions is a trending research topic in human computer interaction (HCI). Speech emotion recognition is one the area which can be used to identify the emotions from verbal expression of human. Speech Emotion recognition also become a main research topic in human computer interaction studies. In recent times, the attention of researchers was increased to study the emotional content of speech and verbal expressions. Implementation of Speech Emotion Recognition may involve several learning models, classification methods, feature extraction and pattern recognition. We reviewed many numbers of research articles, major challengesand applications of speech emotion recognition. At present many emotional speech databases and recognition applications are developed for research and development purpose. The results, limitations and performance of current speech emotion recognition system is based on different classifiers are discussed.