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Ladan Baghai-Ravary

Postdoctoral Researcher

Dr Baghai-Ravary is an expert in speech analysis and recognition based at the University of Oxford's Phonetics Laboratory. She comes from a strong multidisciplinary background, having led a number of speech signal processing and recognition technology projects within academia and the telecommunications industry prior to conducting phonetic and linguistics research at Oxford.

Her work on 'real-world' systems includes a Voice Output Communication Aid (VOCA) for people with cerebral palsy, Parkinson's Disease voice analysis, and commercial telephone-based speech recognition and text-to-speech conversion systems, as well as a 'Big Data' audio mining, linguistics, project to analyse the British National Corpus, which consists of 3 months' duration of speech recorded 'in the wild'.

Dr Baghai-Ravary has over 45 publications including journals, a book chapter and a monograph titled “Automatic Speech Signal Analysis for Clinical Diagnosis and Assessment of Speech Disorders”, published by Springer.

Her Knowledge Exchange Fellowship will feed on her combined experience and skills in engineering and phonetics/linguistics to work on telephone based speech and language analysis and remote health monitoring.