Speech emotion recognition of Hindi speech using statistical and machine learning techniques

被引：6

作者：

Agrawal, Akshat ^{[1
]}

Jain, Anurag ^{[1
]}

机构：

[1] Guru Gobind Singh Indraprastha Univ, Univ Sch Informat Commun & Technol, Sect 16C, New Delhi 110078, India

来源：

JOURNAL OF INTERDISCIPLINARY MATHEMATICS | 2020年 / 23卷 / 01期

关键词：

Speech Emotion Recognition; Statistical approach; KNN; Naive Bayes; Prosodic features; CLASSIFICATION; FEATURES;

D O I：

10.1080/09720502.2020.1721926

中图分类号：

O1 [数学];

学科分类号：

0701 ; 070101 ;

摘要：

Now a days speech is fastest medium of giving instruction to machines to do any task. When a person uttered a word at that time machine can understand the semantic of the utterance but not the emotion related with that utterance. This study mainly focused on combining on different types of speech features together and then this paper used various statistical techniques for reducing the dimensionality of data and then applying machine learning algorithm to train dataset and predicting the emotional state of the person so that while receiving the instruction form humans, machines can provide better response for recognizing emotion.

引用

页码：311 / 319

页数：9

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