Black text which reads "The real problem comes with phrases that have the same rhythm. It distresses me when my daughters argue. It distresses me when my corsets are new.

2020 has been a year of information distortion for many people in many ways. Being deaf means my focus has been around digital and physical access – or lack of access – to information, something I’ll be exploring during the residency.  Originally, I had been viewing my planned areas of research – typography and dummy text, AI transcription, and sound effect captioning – as distinct, albeit with some loose links. Maybe these areas have more in common than I envisaged?

I’ve begun looking at Dr Rachael Tatman’s research around conversational AI and linguistics and have been struck by the similarities between the areas of error in AI, conventional listening, and lipreading. These are often mirrored in typographic and compositing errors.

The images in this post are taken from

  • Lipreading – A Guide for Beginners
  • Finer Points in the Spacing and Arrangement of Type
  • An AI voice transcription programme

The header text on this post is taken from a research paper written by Dr Tatman in 2017.

Black text on white background discussing hyphenated works. The example given is "camellia" This word is split across two lines so that the word initially reads "camel-".
Dark blue text on white background from AI transcription programme. The text does not make sense showing the translation is distorted

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