Open AccessCreation of speech corpus for emotion analysis in Gujarati language and its evaluation by various speech parameters
Author(s) -
Vishal Tank,
Sarman K. Hadia
Publication year - 2020
Publication title -
international journal of power electronics and drive systems/international journal of electrical and computer engineering
Language(s) - English
Resource type - Journals
eISSN - 2722-2578
pISSN - 2722-256X
DOI - 10.11591/ijece.v10i5.pp4752-4758
Subject(s) - gujarati , sadness , disgust , surprise , computer science , happiness , speech recognition , anger , mel frequency cepstrum , natural language processing , emotion classification , speech corpus , artificial intelligence , speech synthesis , psychology , linguistics , feature extraction , communication , social psychology , philosophy , psychiatry
In the last couple of years emotion recognition has proven its significance in the area of artificial intelligence and man machine communication. Emotion recognition can be done using speech and image (facial expression), this paper deals with SER (speech emotion recognition) only. For emotion recognition emotional speech database is essential. In this paper we have proposed emotional database which is developed in Gujarati language, one of the official’s language of India. The proposed speech corpus bifurcate six emotional states as: sadness, surprise, anger, disgust, fear, happiness. To observe effect of different emotions, analysis of proposed Gujarati speech database is carried out using efficient speech parameters like pitch, energy and MFCC using MATLAB Software.