A pseudo-supervised method that uses close-talk microphone recordings to estimate training targets lets a speech enhancement model adapt to real far-field data, cutting CER to 29.80% on MISP2023.
The fifth’chime’speech separation and recognition challenge: Dataset, task and baselines,
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SuPseudo: A Pseudo-supervised Learning Method for Neural Speech Enhancement in Far-field Speech Recognition
A pseudo-supervised method that uses close-talk microphone recordings to estimate training targets lets a speech enhancement model adapt to real far-field data, cutting CER to 29.80% on MISP2023.