PRS for Music sign deal with Soundmouse

PRS for Music has announced a deal with Soundmouse, the UK’s leading broadcast reporting provider

PRS for Music has announced a deal with Soundmouse, the UK’s leading broadcast reporting provider, to supply new fingerprint technology to identify music performances broadcast on radio.

Soundmouse will monitor the use of music on radio across a range of stations in the UK and report the usage data back to PRS for Music who will then use the data to assist in accurately distributing revenues to members. The monitoring activity will start on 1 October 2011, and the information collected will be used for distributing member royalties from April 2012.

PRS for Music conducted extensive research into music recognition technology, and selected Soundmouse after a tender process which began in February this year.

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Offering the highest levels of service to our members is paramount and it is critical we receive the best information and reporting to achieve this. After extensive research into music recognition technology we selected Soundmouse as they were the clear leaders in their field.  The new technology will increase accuracy of distributions to members and further enhance the efficiency of royalty payments.

Keith Hill - Head of Research & Development, PRS for Music
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Our mathematicians have succeeded in delivering a significant leap forward in targeting the unique demands of music reporting, one of the hardest challenges for automated monitoring. We are therefore delighted to be working with PRS for Music and its members to provide our music monitoring services to benefit rights owners.

Mark Vermaat - Head of Business Development, Soundmouse

Soundmouse was formed in 2001 and now provides services to over 450 of the world's leading media organisations. It is the leading provider of information services to the broadcast industry, offering data management and cue sheet reporting to broadcasters and producers.

The company has developed its own fingerprinting technology that has brought a step change in reporting accuracy. Its system is capable of precisely identifying the smallest segments of music performance, even when obscured by voice and other ambient sound.