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Author:
Felix Burkhardt
License:
MIT
Summary:
Machine learning audio prediction experiments based on templates
Latest version:
1.14.0
Required dependencies:
accelerate
|
audb
|
audeer
|
audformat
|
audinterface
|
audiofile
|
audiomentations
|
audmetric
|
audmodel
|
audonnx
|
audplot
|
audresample
|
auglib
|
confidence-intervals
|
datasets
|
googletrans
|
imageio
|
matplotlib
|
numpy
|
numpy-audio-limiter
|
opensmile
|
pandas
|
praat-parselmouth
|
pylatex
|
scikit-learn
|
scipy
|
seaborn
|
sentencepiece
|
sounddevice
|
splitutils
|
transformers
|
umap-learn
|
xgboost
Optional dependencies:
audtorch
|
cylimiter
|
imbalanced-learn
|
renumics-spotlight
|
shap
|
silero-vad
|
sliceguard
|
splitutils
|
tensorflow
|
tensorflow-hub
|
torch
|
torchaudio
|
torchvision
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