Empowering public service interpreters with the help of automatic speech recognition

Start date

September 2024

End date

February 2025

Project website

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About the project

The recent developments in Artificial Intelligence (AI) have led to a variety of technologies that have the potential to support interpreters in their everyday activities. The most notable such technology is Automatic Speech Recognition (ASR), which takes speech and transcribes it to its written form. In scenarios where ASR is used by interpreters within Computer Assisting Tools, it can display terms that are used by the speaker together with their translation, show only the numbers mentioned and even list the full transcription of the speech in real-time.

The EmpASR project is an AHRC funded project that aimed to maximise the impact of our recently completed InnovateUK funded research, Harnessing court data using NLP and spoken language technology, by embedding its research outcomes in the development of bespoke ASR services for interpreters and providing training in using ASR. The focus will be on supporting interpreters, language service providers and other users of ASR services to benefit from the latest developments in artificial intelligence (AI).

One of the deliverables of the project was the development of a training course focusing on ASR literacy for interpreters. The course is being offered as one of the regular CPD taught by members of CTS. 

More details about the outputs of the project can be found at https://dinel.org.uk/research/projects/EmpASR/.

Funding amount

£51,179

Funder

Contact

For enquiries or potential collaboration on this topic please contact Prof Constantin Orasan, the Principal Investigator of the project.

See other research projects carried out at the Centre for Translation Studies.

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Reduced Inequalities UN Sustainable Development Goal 10 logo

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