New grants boost Audio Analytic’s research collaborations in audio

Commercial sound recognition pioneer Audio Analytic has teamed up with researchers from Queen Mary University of London’s Centre for Digital Music, with the support of two new grants worth £385K from the Technology Strategy Board.

Home security and automation systems could benefit from one of the new projects, which will look at improving the recognition of generic environmental sounds.

Audio Analytic’s software recognises sounds automatically, which helps users to detect incidents or events that cannot be identified by other techniques. Through this collaboration between the company and the academic research group, cutting-edge recognition methods and new applications will be explored and added to the system.

“Our algorithms and sensors are already pretty good at recognising music, but being able to detect more generic environmental sounds such as an alarm going off or a loud crash can be very useful if implemented into security systems,” said Mark Plumbley, Director of the Centre for Digital Music at Queen Mary's School of Electronic Engineering and Computer Science.

“Audio Analytic is the emerging world leader in automatic environmental sound recognition. Its cutting-edge technology empowers people to use audio as never before. We are delighted to collaborate with Professor Plumbley’s research group, thus teaming up the best of academic expertise with the most advanced commercial know-how to develop unparalleled sound recognition technology,” said Dr Sacha Krstulovic, Lead Research Engineer at Audio Analytic.

Both projects will also be supported by QMUL’s Centre for Intelligent Sensing, which develops advanced sensor technology and applications. 

Image: Audio Analytic’s technology is used to detect sounds such as smoke alarms.

Audio Analytic
Audio Analytic produces software which automatically recognises sounds by means of computer analysis. Audio Analytic helps users to detect incidents or events that cannot be identified from other sensing techniques alone via the use of the unique sounds that are associated with them. Audio Analytic’s technology is used to detect sounds such as smoke alarm, baby cry, glass break, elderly in need, etc. to enable alerts to home (or business) owners, helping them to react promptly and intelligently to incidents as soon as they happen.

Queen Mary University of London                          
Queen Mary University of London is one of the UK's leading research-focused higher education institutions with some 17,840 undergraduate and postgraduate students.

A member of the Russell Group, it is amongst the largest of the colleges of the University of London. Queen Mary’s 4,000 staff deliver world class degree programmes and research across 21 academic departments and institutes, within three Faculties: Science and Engineering; Humanities and Social Sciences; and the School of Medicine and Dentistry. 

Queen Mary is ranked 11th in the UK according to the Guardian analysis of the 2008 Research Assessment Exercise, and has been described as ‘the biggest star among the research-intensive institutions’ by the Times Higher Education. The College has a strong international reputation, with around 20 per cent of students coming from over 100 countries. Queen Mary has an annual turnover of £300m, research income worth £90m, and generates employment and output worth £600m to the UK economy each year. 

The College is unique amongst London's universities in being able to offer a completely integrated residential campus, with a 2,000-bed award-winning Student Village on its Mile End campus.

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For more information or to arrange interviews with the authors, please contact:
Andrea Cantone
Business Development
T: +44 (0)1223 909305
E: andrea.cantone@audioanalytic.com

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