Case Study: Project Revoice
Treating ALS with creative use of voice technology and machine learning
Using emerging technology, BWM Dentsu created a solution to a critical problem facing patients of ALS. Nonetheless, the journey to an emotional climax was one which tested the limits of both this new tech and the team leading the project.
Background
The Ice Bucket Challenge was a viral sensation in the summer of 2014. It brought the topic of Amyotrophic Lateral Sclerosis (ALS) to public prominence, and as a result of the viral, the ALS Foundation were the beneficiaries of $31.5m in donations (compared to just 1.9m the year before).
A progressive motor neuron disease, one of the symptoms of ALS is that patients lose the ability to speak. At the Australian agency BWM Dentsu, ECD Asheen Naidu, and CD Oskar Westerdal had an idea that could potentially end this problem. Using machine learning and deep voice software technology combined with Tobii eye-tracking, Project Revoice would enable ALS patients to communicate with their own voices once again.
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