- Version
- Download 153
- File Size 921.01 KB
- File Count 1
- Create Date 03/06/2022
- Last Updated 03/06/2022
Speech Emotion Recognition using MLP Classifier
Roshan Wagh1, Yash Gade2 , Abhishek Wagh3 , Amon Bansod4
Department of computer Engineering
K.K.Wagh Institute of Engineering Education and Research
Abstract :
As human beings speech is natural way to express ourselves. Humans depend so much on it. Emotions play a important role in communication . Detection and analysis of emotion is very important in today’s digital world.Emotion detection is a challenging task. There is not a general agreement on how to measure or categorize them. Speech Emotion Recognition process and classify speech signals to detect emotions embedded in them. Speech Emotion Recognition system can be used in various areas.The application area are like interactive voice based-assistant , caller agent conversation analysis,security and other fields. This System attempts to detect emotions in audio file passed by analysing the acoustic features. System uses MLP Classifier to classify the emotions from the given wave signal. RAVDESS dataset will be used .The features to be extracted from the audio input provided will be attracted by these five parameters which are as follows, MFCC, Contrast, Mel Spectrograph
Frequency, Chroma and Tonnetz.
Keywords : MLP Classifier,MFCC ,Chroma, Ravdess Dataset, Tonnetz, Neural Networks,
Contrast ,Mel,etc.