An in-depth analysis of audio classification on the RAVDESS dataset. Feature engineering, hyperparameter optimization, model evaluation, and cross-validation with a variety of ML techniques and MLP
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Updated
Nov 5, 2020 - Jupyter Notebook
An in-depth analysis of audio classification on the RAVDESS dataset. Feature engineering, hyperparameter optimization, model evaluation, and cross-validation with a variety of ML techniques and MLP
Reverberation Deep Learning Toolbox for Python - Keras
Improve a Model's accuracy by distilling knowledge to the earlier layers of the model. Improves accuracy and performance of lightweight DNN models
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