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项目作者： Iasonaspg

项目描述 ：
Speech Emotion Recognition project that analyzes .wav files and predicts the underlying emotion. Multiclass classification with five emotion classes.
高级语言： Jupyter Notebook
项目地址: git://github.com/Iasonaspg/speech-emotion-recognition.git
创建时间： 2020-11-28T18:05:11Z
项目社区：https://github.com/Iasonaspg/speech-emotion-recognition
开源协议：
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Speech Emotion Recognition Project

This repository contains the source code of our project that implements Machine Learning techniques and algorithms for a Speech Emotion Recognition Project. The .wav file of a speech segment is analyzed and is classified by its emotion.

A multi-class classification problem was implemented with 5 classes:

  • fear
  • anger
  • sadness
  • happiness
  • disgust

Our main application is implemented in the Jupyter file named SER_ML.ipynb. We have added comments in each cell and before the definition of complex functions.

If you want to run the notebook follow these steps:

  1. Open it in Colab using the embedded link
  2. Use the data as we have modified them. You can find them at this link. You could create a shortcut of this location in your drive.
  3. Create a copy of the notebook in your drive and run!

We recommend you use a runtime with GPU so ThunderSVM library can be used and accelarate the SVM computations.