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Code-Switching Text Augmentation for Multilingual Speech Processing. (arXiv:2201.02550v1 [cs.CL])
Jan. 10, 2022, 2:10 a.m. | Amir Hussein, Shammur Absar Chowdhury, Ahmed Abdelali, Najim Dehak, Ahmed Ali
cs.CL updates on arXiv.org arxiv.org
The pervasiveness of intra-utterance Code-switching (CS) in spoken content
has enforced ASR systems to handle mixed input. Yet, designing a CS-ASR has
many challenges, mainly due to the data scarcity, grammatical structure
complexity, and mismatch along with unbalanced language usage distribution.
Recent ASR studies showed the predominance of E2E-ASR using multilingual data
to handle CS phenomena with little CS data. However, the dependency on the CS
data still remains. In this work, we propose a methodology to augment the
monolingual …
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