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managed_components/78__esp-opus/dnn/torch/lpcnet/README.md

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+# LPCNet
+
+Incomplete pytorch implementation of LPCNet
+
+## Data preparation
+For data preparation use dump_data in github.com/xiph/LPCNet. To turn this into
+a training dataset, copy data and feature file to a folder and run
+
+python add_dataset_config.py my_dataset_folder
+
+
+## Training
+To train a model, create and adjust a setup file, e.g. with
+
+python make_default_setup.py my_setup.yml --path2dataset my_dataset_folder
+
+Then simply run
+
+python train_lpcnet.py my_setup.yml my_output
+
+## Inference
+Create feature file with dump_data from github.com/xiph/LPCNet. Then run e.g.
+
+python test_lpcnet.py features.f32 my_output/checkpoints/checkpoint_ep_10.pth out.wav
+
+Inference runs on CPU and takes usually between 3 and 20 seconds per generated second of audio,
+depending on the CPU.