Towards Real-Time Mispronunciation Detection in Kids' Speech

@article{Plantinga2019TowardsRM,
  title={Towards Real-Time Mispronunciation Detection in Kids' Speech},
  author={P. Plantinga and E. Fosler-Lussier},
  journal={2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)},
  year={2019},
  pages={690-696}
}
  • P. Plantinga, E. Fosler-Lussier
  • Published 2019
  • Computer Science, Engineering
  • 2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)
Modern mispronunciation detection and diagnosis systems have seen significant gains in accuracy due to the introduction of deep learning. However, these systems have not been evaluated for the ability to be run in real-time, an important factor in applications that provide rapid feedback. In particular, the state-of-the-art uses bi-directional recurrent networks, where a uni-directional network may be more appropriate. Teacher-student learning is a natural approach to use to improve a uni… Expand

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