Dual Script E2E framework for Multilingual and Code-Switching ASR

@article{Kumar2021DualSE,
  title={Dual Script E2E framework for Multilingual and Code-Switching ASR},
  author={Mari Ganesh Kumar and Jom Kuriakose and Anand Thyagachandran and Akhil Arunkumar and Ashish Seth and Lodagala V S V Durga Prasad and Saish Jaiswal and Anusha Prakash and Hema A. Murthy},
  journal={ArXiv},
  year={2021},
  volume={abs/2106.01400}
}
India is home to multiple languages, and training automatic speech recognition (ASR) systems is challenging. Over time, each language has adopted words from other languages, such as English, leading to code-mixing. Most Indian languages also have their own unique scripts, which poses a major limitation in training multilingual and code-switching ASR systems. Inspired by results in text-to-speech synthesis, in this paper, we use an in-house rule-based phoneme-level common label set (CLS… 

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