Improved mixed language speech recognition using asymmetric acoustic model and language model with code-switch inversion constraints

@article{Li2013ImprovedML,
  title={Improved mixed language speech recognition using asymmetric acoustic model and language model with code-switch inversion constraints},
  author={Ying Li and Pascale Fung},
  journal={2013 IEEE International Conference on Acoustics, Speech and Signal Processing},
  year={2013},
  pages={7368-7372}
}
We propose an integrated framework for large vocabulary continuous mixed language speech recognition that handles the accent effect in the bilingual acoustic model and the inversion constraint well known to linguists in the language model. Our asymmetric acoustic model with phone set extension improves upon previous work by striking a balance between data and phonetic knowledge. Our language model improves upon previous work by (1) using the inversion constraint to predict code switching points… CONTINUE READING
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