EmotionRecognition_2D CNN LSTM networks

Introduction

According to the nice paper,Speech emotion recognition using deep 1D & 2D CNN LSTM networks,the 2D CNN LSTM model was built by tensorflow2-keras modul.With training and testing in EmoDB, the model we built showed the closest conclusion comparead with the paper.

Requirements

The code should run the enviroment as follow list:

name	version
python	3.8
numpy	1.19.2
tensorflow	2.2.0
librosa	0.8.0
scikit_learn	0.24.1

Before running the code, you sholud set up the enviroment we needed by entering the following command into the terminal:

• pip install -r requirement.txt

and then verify the parameter of dataset path in main.py

• __EmoDB_file_path__ = 'your_dataset_path'

and finally, running!

Dataset

You can dowload Berlin Database of Emotional Speech.

Reference

JianfengZhao,Xiao Mao,Lijiang Chen, Speech emotion recognition using deep 1D & 2D CNN LSTM networks,Biomedical Signal Processing and Control Volume 47, January 2019, Pages 312-323

Contact

Any issuse should submit directly or send email [email protected].