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  # BigVGAN-L
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  The 24kHz model was pretrained using LibriTTS dataset with a full 100-band mel spectrogram as input (see ```config.json``` for the exact hyperparameter setup) with the [BigVGAN](https://github.com/NVIDIA/BigVGAN)
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- repository. The pretraining was performed over 1300000 mln steps with a 100 batch size with 8 A100 40GB GPUs.
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  # Inference
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  The run the inference with the example command for generating audio from the model. It computes mel spectrograms using wav files from --input_wavs_dir and saves the generated audio to --output_dir.
 
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  ---
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  # BigVGAN-L
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  The 24kHz model was pretrained using LibriTTS dataset with a full 100-band mel spectrogram as input (see ```config.json``` for the exact hyperparameter setup) with the [BigVGAN](https://github.com/NVIDIA/BigVGAN)
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+ repository. The pretraining was performed over 1300k steps with a 100 batch size with 8 A100 40GB GPUs.
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  # Inference
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  The run the inference with the example command for generating audio from the model. It computes mel spectrograms using wav files from --input_wavs_dir and saves the generated audio to --output_dir.