Datasets:
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README.md
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#
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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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##
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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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# 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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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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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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are the required python packages to clean the dataset.
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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.
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