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End To End Speech Recognition Error Prediction With Sequence To Sequence Learning
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End To End Speech Recognition Error Prediction With Sequence To Sequence Learning
Simulating the errors made by a speech recognizer on plain text has proven useful to help train downstream NLP tasks to be robust to real ASR errors at test time. Prior work in this domain has focused on modeling confusions at the phonetic level, and usin
Simulating the errors made by a speech recognizer on plain text has proven useful to help train downstream NLP tasks to be robust to real ASR errors at test time. Prior work in this domain has focused on modeling confusions at the phonetic level, and usin
