Canary Speech Partners with Ulster University on Speech Research
Canary Speech and Ulster University in Northern Ireland have teamed up to sponsor a doctoral research project in the School of Computing and School of Psychology to study how voice technology can be used to identify vocal biomarkers as an indicator of mental health and well-being in young people.
Philip Donaghy, the Ulster PhD researcher who will be assisting in the joint venture between Canary Speech and Ulster University, will run clinical trials to assess the efficacy of Canary's speech technology for cognitive and behavioral health monitoring.
"AI voice technology is the future of healthcare innovation, and I'm thrilled to be a part of this strategic partnership with Canary Speech and Ulster University," Donaghy said in a statement. "Our end goal is to support the mental health and well-being of young people."
"The University is delighted to have secured support from Canary Speech, a globally recognized company, to undertake further research in this vital area," said Eddie Friel, Ulster's director of development and alumni relations, in a statement. "The project, which will enable health professionals to make more informed decisions and improve the quality of care for young people, aligns perfectly with the university's research expertise and other initiatives promoting positive mental health and well-being at Ulster University."
Canary's patented technology enables advanced analysis using artificial intelligence to find features in speech (biomarkers) enabling the replacement of today's subjective behavioral health measurements with a standard approach to objectively and comprehensively measure an array of data points.
Ultimately the study, which will be conducted under informed consent using de-identified data, will enhance the information available to clinical teams about people in their care and increase quality of care. Audio samples can be acquired using smartphones and are non-invasive.
Canary's digital vocal biomarker technology now offers real-time speech analysis on Microsoft Cloud for Healthcare.