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

^ 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].
^ "Home Elementor". Liopa.
^ Vincent, James (November 7, 2016). "Can deep learning help solve lip reading?". The Verge.
^ Quach, Katyanna. "Revealed: How Nvidia's 'backseat driver' AI learned to read lips". www.theregister.com.

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[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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LipNet

LipNet

LipNet

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Root Wikipedia Article

LipNet

References