LEM0NAD3/Cross-Language_SER_XGBoost

Filename explanations:

model_xl: the model trained on the cross-language dataset

model_en: the model trained on the RAVDESS dataset

model_cn: the model trained on the Chinese Mandarin speech data in the ESD dataset

model_de: the model trained on the EMO-DB dataset

model_fr: the model trained on the CaFE_48k dataset

model_pt: the model trained on the VERBO dataset

Notes:

The models are trained using the Learning API xgb.train().

The hyperparameters of the models are not saved with the JSON files; get_params() method will not work on these model files.

The hyperparameters can be found in the params.txt.