Proposes Bayesian factorized adaptation for multilingual ASR to handle code-switching, reporting 32.87% fewer errors on switched words and 5.31% better overall WER while preserving monolingual accuracy with small synthetic data.
End-to-end speech translation for code switched speech,
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Adding Robust Code-Switching Capabilities to High Performance Multilingual ASR
Proposes Bayesian factorized adaptation for multilingual ASR to handle code-switching, reporting 32.87% fewer errors on switched words and 5.31% better overall WER while preserving monolingual accuracy with small synthetic data.