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Towards One Model to Rule All: Multilingual Strategy for Dialectal Code-Switching Arabic ASR
2021
Interspeech 2021
unpublished
With the advent of globalization, there is an increasing demand for multilingual automatic speech recognition (ASR), handling language and dialectal variation of spoken content. Recent studies show its efficacy over monolingual systems. In this study, we design a large multilingual end-to-end ASR using selfattention based conformer architecture. We trained the system using Arabic (Ar), English (En) and French (Fr) languages. We evaluate the system performance handling: (i) monolingual (Ar, En
doi:10.21437/interspeech.2021-1809
fatcat:u34wfklwmjb4fl4va5bn6gh34y