Team of QMUL researchers win award for software designed to help visually impaired audio producers
The DePIC team, led by Dr Nick Bryan-Kinns, won the prize for their Accessible Peak Meter, which is an open source software that uses non-speech sounds in the form of sonification to allow visually-impaired and blind audio producers, musicians and sound engineers to gain access to digital audio workstations.
Dr Oussama Metatla (shown, right, accepting the award presented by the President of AT&T New York at the ADA 25th anniversary celebration event), who was part of the team, said: “The tool was a result of extensive participatory design activities that we conducted with visually-impaired users, and this has ensured that we develop a solution that is relevant to its end users and solves real everyday accessibility challenges that they face when working in the audio production industry.”
Fiore Martin, who led the coding of the software tool, said: “We developed the Accessible Peak Meter as a VST and AU plug-ins. These are two of the main industry standards for the deployment of digital audio effects and instruments into professional digital audio workstations. This hopefully contributes to making sure that blind and visually-impaired users can now have a more level-playing field with their sighted counterparts.”
The Accessible Peak Meter has been downloaded by over 80 users in the first three weeks of its release and is currently being used by audio producers and musicians in the UK as well as in the US. The tool was developed as part of the DePIC project, an Engineering and Physical Sciences Research Council funded project that investigates cross-modal and multimodal interaction techniques to support more inclusive interactions between sighted and visual impaired people.
The DePIC team have also recently won the Best Paper Award at the 2015 International Conference on Auditory Display for their paper ‘Sonifications for Digital Audio Workstations: Reflections on a Particioaptory Design Approach’, which describes the process behind the development of the Accessible Peak Meter and other multimodal accessibility solutions that resulted from DePIC research including techniques for audio-haptic point estimation to support non-visual access to graphs. The DePIC project has also been recently featured in the latest issue of the CS4fn Magazine.