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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.
Dramatically improve ASR for low-resource languages by cleverly leveraging readily available subtitles in higher-resource languages.
