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  # HypothesesParadise
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  This repo releases the Robust HyPoradise dataset in paper "Large Language Models are Efficient Learners of Noise-Robust Speech Recognition."
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- NEW (Apr-18): We have released the training data, which follows the same format as valid/test data.
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  Considering the file size, the uploaded training data does not contain the speech features (vast size).
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  Alternatively, we have provided a script named `add_speech_feats_to_train_data.py` to generate them from raw speech (.wav).
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  You need to specify the raw speech path from utterance id in the script.
 
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  # HypothesesParadise
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  This repo releases the Robust HyPoradise dataset in paper "Large Language Models are Efficient Learners of Noise-Robust Speech Recognition."
20
 
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+ NEW (Apr-18): We have released the training data, which follows the same format as test data.
22
  Considering the file size, the uploaded training data does not contain the speech features (vast size).
23
  Alternatively, we have provided a script named `add_speech_feats_to_train_data.py` to generate them from raw speech (.wav).
24
  You need to specify the raw speech path from utterance id in the script.