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@@ -95,19 +95,30 @@ pretty_name: Filtered LibriTTS-R
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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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-
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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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- ## Overview
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- This is the LibriTTS-R dataset, adapted for the `datasets` library.
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- ## Usage
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Splits
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@@ -132,18 +143,6 @@ The default configuration is "all".
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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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-
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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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-
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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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-
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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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+
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+ load_dataset("blabble-io/libritts_r", "clean", split="train.clean.100")
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+ ```
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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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+
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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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  ```