ERTK documentation

ERTK: Emotion Recognition ToolKit is a python library for processing emotional speech datasets, extracting common features, and training/testing models. It is built upon scikit-learn, with infrastructure for PyTorch and TensorFlow models.

Citing

If you use ERTK in your research, please cite our paper [1]:

@inproceedings{keesingEmotionRecognitionToolKit2023,
    title = {Emotion {{Recognition ToolKit}} ({{ERTK}}): {{Standardising Tools For Emotion Recognition Research}}},
    shorttitle = {Emotion {{Recognition ToolKit}} ({{ERTK}})},
    booktitle = {Proceedings of the 31st {{ACM International Conference}} on {{Multimedia}}},
    author = {Keesing, Aaron and Koh, Yun Sing and Yogarajan, Vithya and Witbrock, Michael},
    year = {2023},
    month = oct,
    series = {{{MM}} '23},
    pages = {9693--9696},
    publisher = {{Association for Computing Machinery}},
    address = {{New York, NY, USA}},
    doi = {10.1145/3581783.3613459},
}

Contents

CLI reference

Command-line programs reference

API reference

Index

Index