Skip to content

tejal04/AudioMining

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

6 Commits
 
 
 
 
 
 

Repository files navigation

Audio Mining : Emotion Detection and Sentiment Analysis

This project was done as part of the coursework for CS6220 : Data Mining Techniques

  1. EDA and visualization of SAVEE dataset.
  2. Emotion Detection was performed on raw Audio data using Convolutional Neural Network.
  3. Sentiment Analysis was performed by transcribing audio files into text data using Google API & training it on BGRU model.

About

Audio Emotion Detection and Sentiment Analysis aims to classify the emotion present in an audio clip and predict the overall sentiment of the clip's textual content. The project is implemented in Python and uses machine learning and deep learning algorithms to analyze the audio features.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Contributors