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Multi-pass Training and Cross-information Fusion for Low-resource End-to-end Accented Speech Recognition
Moreover, we propose to train the Aformer in a multi-pass manner, and investigate three cross-information fusion methods to effectively combine the information from both general and accent encoders.
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