Datasets:
[update] README.md
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README.md
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## Data Split
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The data is split into `train` and `test` sets.
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The `train` set contains 90% of the data and the `test` set contains 10% of the data.
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## Data Split
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The data is split into `train` and `test` sets.
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The `train` set contains 90% of the data and the `test` set contains 10% of the data.
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## data augmentation
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We used data augmentation in order to increase the diversity of our training data without actually collecting new data (we have a very small dataset). By applying noise and volume, we can generate some training samples, which are named by "_NOISE" or "_VOLUME" after speakers' names.
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