1# LPCNet 2 3Incomplete pytorch implementation of LPCNet 4 5## Data preparation 6For data preparation use dump_data in github.com/xiph/LPCNet. To turn this into 7a training dataset, copy data and feature file to a folder and run 8 9python add_dataset_config.py my_dataset_folder 10 11 12## Training 13To train a model, create and adjust a setup file, e.g. with 14 15python make_default_setup.py my_setup.yml --path2dataset my_dataset_folder 16 17Then simply run 18 19python train_lpcnet.py my_setup.yml my_output 20 21## Inference 22Create feature file with dump_data from github.com/xiph/LPCNet. Then run e.g. 23 24python test_lpcnet.py features.f32 my_output/checkpoints/checkpoint_ep_10.pth out.wav 25 26Inference runs on CPU and takes usually between 3 and 20 seconds per generated second of audio, 27depending on the CPU. 28