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Denoising LM: Pushing the Limits of Error Correction Models for Speech Recognition

By Zijin Gu and others
Language models (LMs) have long been used to improve results of automatic speech recognition (ASR) systems, but they are unaware of the errors that ASR systems make. Error correction models are designed to fix ASR errors, however, they showed little improvement over traditional LMs mainly due to the lack of... Show more
May 24, 2024
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Denoising LM: Pushing the Limits of Error Correction Models for Speech Recognition
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