Emotion recognition from speech: An implementation in MATLAB
Emotion recognition from speech: An implementation in MATLAB
Date
2019
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Authors
Wusu-Ansah, Maame Akua Afrakoma
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Abstract
Human Computer Interaction now focuses more on being able to relate to human emotions.
Recognizing human emotions from speech is an area that a lot of research is being done into
with the rise of robots and Virtual reality. In this paper, emotion recognition from speech is
done in MATLAB. Feature extraction is done based on the pitch and 13 MFCCs of the audio
files. Two classification methods are used and compared to determine the one with the highest
accuracy for the data set.
Description
Capstone Project submitted to the Department of Engineering, Ashesi University in partial fulfillment of the requirements for the award of Bachelor of Science degree in Electrical and Electronic Engineering, April 2019
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Capstone project
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Keywords
emotion recognition , human-computer interaction , voice recognition , classification