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@@ -33,14 +33,28 @@ size_categories:
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  - 10K<n<100K
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  ---
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- ## VCTK
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  This is a processed clone of the VCTK dataset with leading and trailing silence removed using Silero VAD. A fixed 25 ms of padding has been added to both ends of each audio clip to (hopefully) imrprove training and finetuning.
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  The original dataset is available at: https://datashare.ed.ac.uk/handle/10283/3443.
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- ### Reproducing
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  1. Download VCTK dataset (0.92) and extract it. This should net a `wav48_silence_trimmed` directory and a `txt` directory.
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  2. Run `process.py`, which will generate a `dataset` directory. This can be restarted if stopped.
 
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  - 10K<n<100K
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  ---
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+ # VCTK
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  This is a processed clone of the VCTK dataset with leading and trailing silence removed using Silero VAD. A fixed 25 ms of padding has been added to both ends of each audio clip to (hopefully) imrprove training and finetuning.
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  The original dataset is available at: https://datashare.ed.ac.uk/handle/10283/3443.
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+ ## Reproducing
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+
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+ This repository notably lacks a requirements.txt file. There's likely a missing dependency or two, but roughly:
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+
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+ ```
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+ pydub
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+ tqdm
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+ torch
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+ torchaudio
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+ python-dotenv
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+ ```
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+
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+ are the required python packages to clean the dataset.
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+
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+ ### Steps
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  1. Download VCTK dataset (0.92) and extract it. This should net a `wav48_silence_trimmed` directory and a `txt` directory.
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  2. Run `process.py`, which will generate a `dataset` directory. This can be restarted if stopped.