Professor Bill Wells, the Principal Investigator on the project, is based in the Department of Human Communication Sciences at the University of Sheffield. He has carried out research on the phonetics of turn-taking and overlapping talk since the early 1980′s, with reference to adult English speakers of different accents and dialects, young children, and children with atypical speech and language development.
Professor Guy Brown is a member of the Speech and Hearing Research Group in the Department of Computer Science, University of Sheffield. His principal research interests are computational hearing and speech technology, with a particular emphasis on auditory-motivated approaches to source segregation.
Dr Emina Kurtic was employed as the research assistant on this project, and was responsible for the the day-to-day running of the project. Emina, who was born in Bosnia, moved to Germany as a teenager and studied at secondary school and university there. She completed her PhD with Bill Wells and Guy Brown at the University of Sheffield. She travelled to Bosnia in 2009 to establish collaborative links at the University of Tuzla, to make the recordings and to train the transcribers.
Our main collaborator at the University of Tuzla is Bernes Aljukic, a researcher in linguistics in the Philosophical Faculty. Bernes has carried out much of the transcription and annotation of the Bosnian corpus. He has also collaborated with Emina Kurtic on a study drawing on data from the Bosnian corpus.
The project has benefitted greatly from the contributions of casually employed staff. Funded by SURE undergraduate bursary from the University of Sheffield, Emma Foster worked in the summer of 2010 transcribing the English corpus and again in 2012 annotating the data. Emma qualified with a first class degree in 2012 and is now working as a speech and language therapist. Dr Marianna Kaimaki, formerly at the University of York and now at the University of Cambridge, is making an intonation transcription of parts of the English corpus, which will be available to users of the corpus.
The project was funded by AHRC grant AH/F018908/1 between 1/1/2009 and 30/06/2012.