JackismyShephard
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README.md
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The output of the model is a log-mel spectogram, which should be converted to a waveform using [microsoft/speecht5_hifigan](https://huggingface.co/microsoft/speecht5_hifigan). For better quality output the resulting waveform can be enhanced using [ResembleAI/resemble-enhance](https://huggingface.co/ResembleAI/resemble-enhance).
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An example script showing how to use the model for inference can be found [here](https://github.com/JackismyShephard/hugging-face-audio-course/blob/main/
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## Training and evaluation data
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## Training procedure
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The script used for training the model (and pre-processing its data) can be found [here](https://github.com/JackismyShephard/hugging-face-audio-course/blob/main/finetuned-nst-da-training.ipynb).
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### Training hyperparameters
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The output of the model is a log-mel spectogram, which should be converted to a waveform using [microsoft/speecht5_hifigan](https://huggingface.co/microsoft/speecht5_hifigan). For better quality output the resulting waveform can be enhanced using [ResembleAI/resemble-enhance](https://huggingface.co/ResembleAI/resemble-enhance).
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An example script showing how to use the model for inference can be found [here](https://github.com/JackismyShephard/hugging-face-audio-course/blob/main/notebooks/inference/finetuned-nst-da-inference.ipynb).
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## Training and evaluation data
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## Training procedure
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The script used for training the model (and pre-processing its data) can be found [here](https://github.com/JackismyShephard/hugging-face-audio-course/blob/main/notebooks/training/finetuned-nst-da-training.ipynb).
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### Training hyperparameters
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