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# Dataset Card for Filtered LibriTTS-R
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This is a filtered version of LibriTTS-R. It has been filtered based on two sources:
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1. LibriTTS-R paper [1], which lists samples for which speech restoration have failed
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2. LibriTTS-P [2] list of [excluded speakers](https://github.com/line/LibriTTS-P/blob/main/data/excluded_spk_list.txt) for which multiple speakers have been detected.
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LibriTTS-R [1] is a sound quality improved version of the [LibriTTS corpus](http://www.openslr.org/60/) which is a multi-speaker English corpus of approximately
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585 hours of read English speech at 24kHz sampling rate, published in 2019.
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##
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### Splits
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- "other": contains only "other" splits
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- "all": contains only "all" splits
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### Example
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Loading the `clean` config with only the `train.clean.360` split.
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```
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load_dataset("blabble-io/libritts_r", "clean", split="train.clean.100")
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```
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Streaming is also supported.
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```
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load_dataset("blabble-io/libritts_r", streaming=True)
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```
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### Columns
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```
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# Dataset Card for Filtered LibriTTS-R
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This is a filtered version of [LibriTTS-R](https://huggingface.co/datasets/mythicinfinity/libritts_r). It has been filtered based on two sources:
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1. LibriTTS-R paper [1], which lists samples for which speech restoration have failed
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2. LibriTTS-P [2] list of [excluded speakers](https://github.com/line/LibriTTS-P/blob/main/data/excluded_spk_list.txt) for which multiple speakers have been detected.
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LibriTTS-R [1] is a sound quality improved version of the [LibriTTS corpus](http://www.openslr.org/60/) which is a multi-speaker English corpus of approximately
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585 hours of read English speech at 24kHz sampling rate, published in 2019.
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## Usage
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### Example
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Loading the `clean` config with only the `train.clean.360` split.
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```py
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from datasets import load_dataset
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load_dataset("blabble-io/libritts_r", "clean", split="train.clean.100")
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```
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Streaming is also supported.
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```py
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from datasets import load_dataset
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load_dataset("blabble-io/libritts_r", streaming=True)
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```
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### Splits
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- "other": contains only "other" splits
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- "all": contains only "all" splits
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### Columns
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```
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