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IJSTR >> Volume 8 - Issue 7, July 2019 Edition



International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616



Machine Learning Based Speech Emotions Recognition System

[Full Text]

 

AUTHOR(S)

Dr. Yogesh Kumar, Dr. Manish Mahajan

 

KEYWORDS

Emotion recognition, Feature extraction, Emotions, Modeling, Machine Learning , deep neural network, Dataset

 

ABSTRACT

The speech signal is one of the most natural and fastest methods of communication between humans. Many systems have been developed by various researchers to identify the emotions from the speech signal. In differentiating between various emotions particularly speech features are more useful and if not clear is the reason that makes emotion recognition from speaker’s speech very difficult. There are a number of the dataset available for speech emotions, it's modelling, and types that helps in knowing the type of speech. After feature extraction, another important part is the classification of speech emotions so the paper has compared and reviewed the different classifiers that are used to differentiate emotions such as sadness, neutral, happiness, surprise, anger, etc. The research also shows the improvement in emotion recognition system by making automatic emotion recognition system adding a deep neural network. The analysis has also been performed using different ML techniques for Speech emotions recognition accuracy in different languages.

 

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