Update README.md

README.md

@@ -2,11 +2,11 @@
 license: cc-by-4.0
 task_categories:
 - text-to-speech
+- automatic-speech-recognition
 language:
 - en
 size_categories:
 - 10K<n<100K
-
 dataset_info:
 - config_name: clean
   features:
@@ -90,14 +90,17 @@ configs:
     path: other/test.other-*
   - split: train.other.500
     path: other/train.other.500-*
+pretty_name: Filtered LibriTTS-R
 ---
 
-# Dataset Card for LibriTTS-R
+# Dataset Card for Filtered LibriTTS-R
 
-<!-- Provide a quick summary of the dataset. -->
+This is a filtered version of LibriTTS-R. It has been filtered based on two sources:
+1. LibriTTS-R paper [1], which lists samples for which speech restoration have failed
+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.
+   
 
-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 
+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 
 585 hours of read English speech at 24kHz sampling rate, published in 2019.
 
 ## Overview
@@ -217,4 +220,14 @@ load_dataset("blabble-io/libritts_r", streaming=True)
   primaryClass  = "eess.AS",
   eprint        = "2305.18802"
 }
+
+@misc{kawamura2024librittspcorpusspeakingstyle,
+      title={LibriTTS-P: A Corpus with Speaking Style and Speaker Identity Prompts for Text-to-Speech and Style Captioning}, 
+      author={Masaya Kawamura and Ryuichi Yamamoto and Yuma Shirahata and Takuya Hasumi and Kentaro Tachibana},
+      year={2024},
+      eprint={2406.07969},
+      archivePrefix={arXiv},
+      primaryClass={eess.AS},
+      url={https://arxiv.org/abs/2406.07969}, 
+}
 ```