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COALA outperforms existing methods in contextual biasing for ASR, achieving superior performance even in complex multi-entity scenarios.
Achieve up to 57% relative error reduction in low-resource Taiwanese Hakka ASR by disentangling dialectal style from linguistic content using a dialect-aware RNN-T framework.
