悲伤
Mel倒谱
支持向量机
愤怒
幸福
语音识别
情绪识别
分类器(UML)
情绪分类
人工智能
计算机科学
模式识别(心理学)
心理学
特征提取
社会心理学
作者
Jain, Manas,Narayan, Shruthi,Balaji, Pratibha,P, Bharath K,Bhowmick, Abhijit,R, Karthik,Muthu, Rajesh Kumar
出处
期刊:Cornell University - arXiv
日期:2020-02-03
标识
DOI:10.48550/arxiv.2002.07590
摘要
In this project, we aim to classify the speech taken as one of the four emotions namely, sadness, anger, fear and happiness. The samples that have been taken to complete this project are taken from Linguistic Data Consortium (LDC) and UGA database. The important characteristics determined from the samples are energy, pitch, MFCC coefficients, LPCC coefficients and speaker rate. The classifier used to classify these emotional states is Support Vector Machine (SVM) and this is done using two classification strategies: One against All (OAA) and Gender Dependent Classification. Furthermore, a comparative analysis has been conducted between the two and LPCC and MFCC algorithms as well.
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