Update README.md

README.md

@@ -16,8 +16,7 @@ source_datasets:
 - original
 task_categories:
 - automatic-speech-recognition
-task_ids:
-- automatic-speech-recognition
+task_ids: []
 ---
 
 # Dataset Card for tedlium
@@ -55,7 +54,7 @@ task_ids:
 
 ### Dataset Summary
 
-The TED-LIUM corpus is English-language TED talks, with transcriptions, sampled at 16kHz. It contains about 118 hours of speech.
+The TED-LIUM corpus is English-language TED talks, with transcriptions, sampled at 16kHz. The three releases of the corpus range from 118 to 452 hours of transcribed speech data.
 
 
 ### Example 
@@ -73,8 +72,6 @@ audio_input = tedlium["train"][0]["audio"]  # first decoded audio sample
 transcription = tedlium["train"][0]["text"]  # first transcription
 ```
 
-Note that the processing of the TEDLIUM dataset requires pydub for audio segmentation. Instructions on how to download pydub can be found at https://github.com/jiaaro/pydub#installation. 
-
 ### Supported Tasks and Leaderboards
 
 - `automatic-speech-recognition`: The dataset can be used to train a model for Automatic Speech Recognition (ASR). The model is presented with an audio file and asked to transcribe the audio file to written text. The most common evaluation metric is the word error rate (WER). The task has an active leaderboard which can be found at https://paperswithcode.com/sota/speech-recognition-on-tedlium that ranks models based on their WER.
@@ -195,15 +192,11 @@ Licensed under Creative Commons BY-NC-ND 3.0 (http://creativecommons.org/license
 ### Citation Information
 
 ```
-@inproceedings{panayotov2015librispeech,
-  title={Librispeech: an ASR corpus based on public domain audio books},
-  author={Panayotov, Vassil and Chen, Guoguo and Povey, Daniel and Khudanpur, Sanjeev},
-  booktitle={Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on},
-  pages={5206--5210},
-  year={2015},
-  organization={IEEE}
+@inproceedings{rousseau2012tedlium,
+  title={TED-LIUM: an Automatic Speech Recognition dedicated corpus},
+  author={Rousseau, Anthony and Del{\'e}glise, Paul and Est{\`e}ve, Yannick},
+  booktitle={Conference on Language Resources and Evaluation (LREC)},
+  pages={125--129},
+  year={2012}
 }
-```
-
-### Contributions
-Thanks to [@sanchit-gandhi](https://github.com/sanchit-gandhi) for adding this dataset.
+```