LipNet

LipNet is a deep neural network for audio-visual speech recognition (ASVR). It was created by University of Oxford researchers Yannis Assael, Brendan Shillingford, Shimon Whiteson, and Nando de Freitas.[1] Audio-visual speech recognition has enormous practical potential, with applications such as improved hearing aids, improving the recovery and wellbeing of critically ill patients,[2] and speech recognition in noisy environments,[3] implemented for example in Nvidia's autonomous vehicles.[4]

References

  1. ^ Assael, Yannis M.; Shillingford, Brendan; Whiteson, Shimon; de Freitas, Nando (2016-12-16). "LipNet: End-to-End Sentence-level Lipreading". arXiv:1611.01599 [cs.LG].
  2. ^ "Home Elementor". Liopa.
  3. ^ Vincent, James (November 7, 2016). "Can deep learning help solve lip reading?". The Verge.
  4. ^ Quach, Katyanna. "Revealed: How Nvidia's 'backseat driver' AI learned to read lips". www.theregister.com.


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