Differentiable Allophone Graphs for Language-Universal Speech Recognition

@article{Yan2021DifferentiableAG,
  title={Differentiable Allophone Graphs for Language-Universal Speech Recognition},
  author={Brian Yan and Siddharth Dalmia and David R. Mortensen and Florian Metze and Shinji Watanabe},
  journal={ArXiv},
  year={2021},
  volume={abs/2107.11628}
}
Building language-universal speech recognition systems entails producing phonological units of spoken sound that can be shared across languages. While speech annotations at the language-specific phoneme or surface levels are readily available, annotations at a universal phone level are relatively rare and difficult to produce. In this work, we present a general framework to derive phone-level supervision from only phonemic transcriptions and phone-to-phoneme mappings with learnable weights… Expand

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