Resolution limits on visual speech recognition
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Abstract (arXiv)
Visual-only speech recognition is dependent upon a number of factors that can be difficult to control, such as: lighting; identity; motion; emotion and expression. But some factors, such as video resolution are controllable, so it is surprising that there is not yet a systematic study of the effect of resolution on lip-reading. Here we use a new data set, the Rosetta Raven data, to train and test recognizers so we can measure the affect of video resolution on recognition accuracy. We conclude that, contrary to common practice, resolution need not be that great for automatic lip-reading. However it is highly unlikely that automatic lip-reading can work reliably when the distance between the bottom of the lower lip and the top of the upper lip is less than four pixels at rest.
Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). First posted on arXiv 3 Oct 2017.
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Citing papers per year: 2022: 1; 2023: 1; 2024: 1; 2025: 1; 2026: 1.
5 papers.
- 2022Visual Speech Recognition for Multiple Languages in the Wildcited by 94
- 2023Automated Speaker Independent Visual Speech Recognition: A Comprehensive Surveycited by 0
- 2024Comparison of Conventional Hybrid and CTC/Attention Decoders for Continuous Visual Speech Recognitioncited by 0
- 2025Evaluation of End-to-End Continuous Spanish Lipreading in Different Data Conditionscited by 0
- 2026Cross-Modal Masking for Robust Silent Speech Synthesis Using sEMG and Lipreadingcited by 0
- 2026Cross-Modal Masking for Robust Silent Speech Synthesis Using sEMG and Lipreading8 Jun 2026
- 2025Evaluation of End-to-End Continuous Spanish Lipreading in Different Data Conditions1 Feb 2025
- 2024Comparison of Conventional Hybrid and CTC/Attention Decoders for Continuous Visual Speech Recognition20 Feb 2024
- 2023Automated Speaker Independent Visual Speech Recognition: A Comprehensive Survey14 Jun 2023
- 2022Visual Speech Recognition for Multiple Languages in the Wild26 Feb 2022