python -m cargan \
    --audio_files 
   
     \
    --output_files 
    
      \
    --checkpoint 
     
       \
    --gpu 
      

      
     
    
   

python -m cargan \
    --feature_files 
   
     \
    --output_files 
    
      \
    --checkpoint 
     
       \
    --gpu 
      

      
     
    
   

"""Perform vocoding from audio

Arguments
    audio : torch.Tensor(shape=(1, samples))
        The audio to vocode
    sample_rate : int
        The audio sample rate
    gpu : int or None
        The index of the gpu to use

Returns
    vocoded : torch.Tensor(shape=(1, samples))
        The vocoded audio
"""

"""Perform vocoding from audio file and save to file

Arguments
    audio_file : Path
        The audio file to vocode
    output_file : Path
        The location to save the vocoded audio
    checkpoint : Path
        The generator checkpoint
    gpu : int or None
        The index of the gpu to use
"""

"""Perform vocoding from audio files and save to files

Arguments
    audio_files : list(Path)
        The audio files to vocode
    output_files : list(Path)
        The locations to save the vocoded audio
    checkpoint : Path
        The generator checkpoint
    gpu : int or None
        The index of the gpu to use
"""

"""Perform vocoding from features

Arguments
    features : torch.Tensor(shape=(1, cargan.NUM_FEATURES, frames)
        The features to vocode
    gpu : int or None
        The index of the gpu to use

Returns
    vocoded : torch.Tensor(shape=(1, cargan.HOPSIZE * frames))
        The vocoded audio
"""

"""Perform vocoding from feature file and save to disk

Arguments
    feature_file : Path
        The feature file to vocode
    output_file : Path
        The location to save the vocoded audio
    checkpoint : Path
        The generator checkpoint
    gpu : int or None
        The index of the gpu to use
"""

"""Perform vocoding from feature files and save to disk

Arguments
    feature_files : list(Path)
        The feature files to vocode
    output_files : list(Path)
        The locations to save the vocoded audio
    checkpoint : Path
        The generator checkpoint
    gpu : int or None
        The index of the gpu to use
"""

python -m cargan.data.download --datasets 
   

   

python -m cargan.preprocess --datasets 
   
     --gpu 
    

    
   

python -m cargan.partition --datasets 
   

   

python -m cargan.train \
    --name 
   
     \
    --datasets 
    
      \
    --gpus 
     

     
    
   

tensorboard --logdir runs/ --port 
   

   

python -m cargan.evaluate.objective \
    --name 
   
     \
    --datasets 
    
      \
    --checkpoint 
     
       \
    --num 
      
        \
    --gpu 
        
       
      
     
    
   

python -m cargan.evaluate.subjective \
    --name 
   
     \
    --datasets 
    
      \
    --checkpoint 
     
       \
    --num 
      
        \
    --gpu 
        
       
      
     
    
   

python -m cargan.evaluate.receptive_field

pip install pytest
pytest

@inproceedings{morrison2022chunked,
    title={Chunked Autoregressive GAN for Conditional Waveform Synthesis},
    author={Morrison, Max and Kumar, Rithesh and Kumar, Kundan and Seetharaman, Prem and Courville, Aaron and Bengio, Yoshua},
    booktitle={Submitted to ICLR 2022},
    month={April},
    year={2022}
}