Datasets:
LIUM
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@@ -73,6 +73,8 @@ audio_input = tedlium["train"][0]["audio"] # first decoded audio sample
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  transcription = tedlium["train"][0]["text"] # first transcription
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  ```
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  ### Supported Tasks and Leaderboards
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  - `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.
 
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  transcription = tedlium["train"][0]["text"] # first transcription
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  ```
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+ 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.
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  ### Supported Tasks and Leaderboards
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  - `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.