Description

A pytorch implementation of Speech emotion recognition using deep 1D & 2D CNN LSTM networks using pytorch lighting and wandb sweep for hyperparameter finding. I'm not affiliated with the authors of the paper.

How to run

First, install dependencies

# clone project   
git clone https://github.com/RicardoP0/Speech2dCNN_LSTM.git

# install project   
cd Speech2dCNN_LSTM
pip install -e .   
pip install requirements.txt

Next, navigate to CNN+LSTM and run it.

# module folder
cd research_seed/audio_classification/   

# run module
python cnn_trainer.py    

Main Contribution

• CNN+LSTM

Results

Validation accuracy reaches 0.4 and a F1 value of 0.3 using 8 classes.