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

Abstract

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.

Subject Classification:

• (2010) Primary 68T10
• Secondary 62H30

Keywords:

• Speech Emotion Recognition
• Statistical approach
• KNN
• Naïve Bayes
• Prosodic features