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Speech and language data for diagnostics

Our team undertake R&D in our specialist area related to speech, language and acoustic data. That R&D informs our product development for our assistive apps and also contributes to our work with partners across the world. The team has won numerous award recognising its innovation, and the team are constantly looking to take the next step with each project. In 2019 we are focusing on our range of products which use speech, language and voice data for monitoring disease and identifying disorders.

Research

Therapy Box has partnered with leading UK universities as a technical collaborator and achieved significant research-based outcomes.

Together with the University of Reading, we were able to produce an app which utilized the research-based findings that eye-tracking could provide measurements of a child’s response to stimuli and thereby be an indicator of autism.

The University of Sheffield produced research which highlighted the advancements in speech recognition and we harnessed the possibility of using these advancements to produce the world’s first voice-activated AAC app.

Now we are leading a ground breaking project to use spoken narratives to identify developmental language disorders.

Collaboration

Therapy Box has collaborated with universities to produce word-class apps and innovative solutions. These collaborations have been grant-funded by NIHR, MRC, Horizon 2020, SBRI Healthcare and EPSRC.

In 2019 Therapy Box are the principal investigator in an NIHR i4i Product Development Grant to develop and evaluate technology to identify children with developmental language disorders. This builds on our successful project in 2018. We are working with 3 NHS Trusts and the Bristol Speech and Language Therapy Research Unit and Newcastle University.

Therapy Box, together with Sheffield University and Barnsley Hospital, successfully applied for and received grant funding from NIHR i4i for the STAR project and then through SBRI Healthcare for the work we collaborated on for VocaTempo.

Finally, the work we did with University of Reading on START, designed to screen children for autism in rural and remote areas of India received a grant for funding from the Medical Research Council Global Challenges Research Fund.

Technical Partnership

Our technical expertise has also been utilised in projects with University College London and Bangor University. The team works with academics to build tools and apps which can support research and to help disseminate research outcomes in a digital manner.

Funded by Nesta, the team worked with Bangor University and a charity called Circus Starr to create a digital experience for children with autism to prepare for attending arts events.

Clinical Evaluation

Therapy Box works closely with academics and clinicians across the country to ensure products are clinically evaluated, with the goal of determining the clinical effectiveness and move to the stage of CE marking, applying to the NHS App Store and the ITP.

The VocaTempo and STAR projects were evaluated at three sites across the country working with NHS Trusts in London and Barnsley.

Commercialisation

The team at Therapy Box has years of experience in commercialising and managing apps in the market on all platforms (App Store, Google Play and Microsoft Store). We are able to take the app through the process of release and manage the marketing and promotion thereafter.

INNOVATION

Eye Tracking
We are in the process of developing eye tracking software which relies solely on a device’s front facing camera.
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Head Tracking
When Apple released improvements to ARKit and Face ID, we quickly saw an opportunity to develop head tracking. This runs only the newest iPad Pros. We showed the team at Apple Accessibility in London, and they had certainly not seen this implementation before! While it is currently available in Predictable, we will be adding it to other apps in our R&D pipeline, both as an accessibility method and as a data collection means.
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Machine Learning
We have been investing heavily in machine learning technology that will be able to provide early diagnosis of language disorders.
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Word Prediction
Our intelligent word prediction now includes double word prediction, autocomplete, autocorrect and dyslexia support.
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Speech Recognition
We have developed specific speech recognition software that works with children and a variety of speakers with speech impediments.
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