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AC: An Audio Classifier to Classify Violent Extensive Audios Read chapter Read first chapter

2018 | OriginalPaper | Chapter

Analysis of Emotion Recognition System for Telugu Using Prosodic and Formant Features

Authors : Kasiprasad Mannepalli, Panyam Narahari Sastry, Maloji Suman

Published in: Speech and Language Processing for Human-Machine Communications

Publisher: Springer Singapore

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Abstract

Speech processing has emerged as one among the most important application areas of digital signal processing. In the present world, the speech processing has become essential for technological developments in various aspects and this technology is also incorporated in many gadgets. Emotion-based recognition is where the emotion of the person is identified from the differences in stress and other properties of speech. The features such as intensity, formants, bandwidth, and pitch vary with the change in emotion. These changes are identified, and the emotion is recognized with respect to the average value in that particular emotion. This project aims to recognize the emotion in Telugu language. The speeches of different speakers are collected for the same sentence in three different emotions (happy, neutral, and bore), and various features are extracted from these collected speeches. Finally, an algorithm is proposed to recognize the emotion based on the features extracted. Its applications are access control, transaction authentication, law enforcement, etc. The recognition accuracy to recognize the emotion of the speaker is 79%.

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Metadata
Title
Analysis of Emotion Recognition System for Telugu Using Prosodic and Formant Features
Authors
Kasiprasad Mannepalli
Panyam Narahari Sastry
Maloji Suman
Copyright Year
2018
Publisher
Springer Singapore
Book
Speech and Language Processing for Human-Machine Communications

Print ISBN: 978-981-10-6625-2

Electronic ISBN: 978-981-10-6626-9

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-981-10-6626-9_15