karthick47v2/speech-emotion-classifier

Classify emotions like happy, fear, neutral, etc. using CNN applying bootstrap aggregation approach

Welcome to speech-emotion-classifier 👋

This is a part of Mock-Buddy project, used to detect speech confidence. CNN architecture used to build the model to classify emotions. The ensembled model is build with TensorFlow applying bootstrap aggregation apporach.

Prerequisite

• Python 3.7 or newer

Dataset

• RAVDEES
• SAVEES
• TESS

Usage

• You can download dataset from data.ipynb. Run it and preprocess data.
• Run train.ipynb to start training.
• ser_pred.ipyb has template for using model inside other applications.

Author

👤 Karthick T. Sharma

• Github: @Karthick47v2
• LinkedIn: @Karthick47

Citation

The Ryerson Audio-Visual Database of Emotional Speech and Song (RAVDESS) can be downloaded free of charge at https://zenodo.org/record/1188976.

@data{SP2/E8H2MF_2020,
author = {Pichora-Fuller, M. Kathleen and Dupuis, Kate},
publisher = {Scholars Portal Dataverse},
title = "{Toronto emotional speech set (TESS)}",
year = {2020},
version = {DRAFT VERSION},
doi = {10.5683/SP2/E8H2MF},
url = {https://doi.org/10.5683/SP2/E8H2MF}
}

@inproceedings{Vlasenko_combiningframe,
author = {Vlasenko, Bogdan and Schuller, Bjorn and Wendemuth, Andreas and Rigoll, Gerhard},
year = {2007},
month = {01},
pages = {2249-2252},
title = {Combining frame and turn-level information for robust recognition of emotions within speech},
journal = {Proceedings of Interspeech}
}

🤝 Contributing

Contributions, issues and feature requests are welcome!
Feel free to check issues page.

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