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Details of Grant 

EPSRC Reference: EP/M507088/1
Title: Audio Data Exploration: New Insights and Value
Principal Investigator: Dixon, Dr S
Other Investigators:
Researcher Co-Investigators:
Project Partners:
Department: Sch of Electronic Eng & Computer Science
Organisation: Queen Mary University of London
Scheme: Technology Programme
Starts: 03 November 2014 Ends: 02 September 2015 Value (£): 77,443
EPSRC Research Topic Classifications:
Artificial Intelligence Music & Acoustic Technology
EPSRC Industrial Sector Classifications:
Environment Healthcare
Related Grants:
Panel History:  
Summary on Grant Application Form
The "Audio Data Exploration: New Insights and Value" project is a collaboration between Audio Analytic Ltd. and the

Centre for Digital Music & Centre for Intelligent Sensing at Queen Mary University of London (QML). Compared to

mathematical, textual or visual data, audio data has remained largely underexploited and undervalued, and thus represents

an opportunity to grow innovation and to develop new markets. While Automatic Speech Recognition and Music Analysis

are now creating some industrial value, R&D needs to be conducted to tackle the challenges posed by Automatic

Environmental Sound Recognition defined in a broader sense. The newly developed advanced audio data analysis and

modelling techniques will create value across a variety of applicative domains. While proven markets include Professional

Security and Home Security, a range of novel markets can be developed in relation to Multimedia Database Indexing,

Environmental and Industrial Monitoring, the Internet of Things and more. The project will gather the newly developed

audio analysis and modelling techniques into a demonstrator instantiated as a "Personal Audio Space Indexer".
Key Findings
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Potential use in non-academic contexts
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Impacts
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Summary
Date Materialised
Sectors submitted by the Researcher
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