We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
The Munich Open-Source Large-Scale Multimedia Feature Extractor
C++ 613 78
Python package for openSMILE
BitBake 255 34
How to use our public wav2vec2 dimensional emotion model
Jupyter Notebook 469 49
Manage audio and video datasets
Python 26 1
Data augmentation for audio
Python 11
Handling audio files in Python
Python 33 2
Contribution to https://shift-europe.eu
Deploy models in ONNX format
Judge machine learning predictions
Split API documentation automatically in sub-pages
Sphinx theme from audEERING
Resample and remix audio signals
Analyse rater annotations
Loading…