Search Results for author: Yannis Assael

Found 8 papers, 3 papers with code

Restoring and attributing ancient texts using deep neural networks

2 code implementations Nature 2022 Yannis Assael, Thea Sommerschield, Brendan Shillingford, Mahyar Bordbar, John Pavlopoulos, Marita Chatzipanagiotou, Ion Androutsopoulos, Jonathan Prag, Nando de Freitas

Ithaca can attribute inscriptions to their original location with an accuracy of 71% and can date them to less than 30 years of their ground-truth ranges, redating key texts of Classical Athens and contributing to topical debates in ancient history.

Ancient Text Restoration

Interactive decoding of words from visual speech recognition models

no code implementations1 Jul 2021 Brendan Shillingford, Yannis Assael, Misha Denil

This work describes an interactive decoding method to improve the performance of visual speech recognition systems using user input to compensate for the inherent ambiguity of the task.

Visual Speech Recognition

Large-scale multilingual audio visual dubbing

no code implementations6 Nov 2020 Yi Yang, Brendan Shillingford, Yannis Assael, Miaosen Wang, Wendi Liu, Yutian Chen, Yu Zhang, Eren Sezener, Luis C. Cobo, Misha Denil, Yusuf Aytar, Nando de Freitas

The visual content is translated by synthesizing lip movements for the speaker to match the translated audio, creating a seamless audiovisual experience in the target language.

Translation

Restoring ancient text using deep learning: a case study on Greek epigraphy

1 code implementation IJCNLP 2019 Yannis Assael, Thea Sommerschield, Jonathan Prag

Ancient history relies on disciplines such as epigraphy, the study of ancient inscribed texts, for evidence of the recorded past.

Ancient Text Restoration

Speech bandwidth extension with WaveNet

no code implementations5 Jul 2019 Archit Gupta, Brendan Shillingford, Yannis Assael, Thomas C. Walters

This paper proposes an approach where a communication node can instead extend the bandwidth of a band-limited incoming speech signal that may have been passed through a low-rate codec.

Bandwidth Extension

Large-Scale Visual Speech Recognition

no code implementations ICLR 2019 Brendan Shillingford, Yannis Assael, Matthew W. Hoffman, Thomas Paine, Cían Hughes, Utsav Prabhu, Hank Liao, Hasim Sak, Kanishka Rao, Lorrayne Bennett, Marie Mulville, Ben Coppin, Ben Laurie, Andrew Senior, Nando de Freitas

To achieve this, we constructed the largest existing visual speech recognition dataset, consisting of pairs of text and video clips of faces speaking (3, 886 hours of video).

Ranked #7 on Lipreading on LRS3-TED (using extra training data)

Lipreading Visual Speech Recognition

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