This five-year EPSRC project brings the very latest technologies to bear on the entire recorded music industry, end-to-end, producer to consumer, making the production process more fruitful, the consumption process more …

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This five-year EPSRC project brings the very latest technologies to bear on the entire recorded music industry, end-to-end, producer to consumer, making the production process more fruitful, the consumption process more engaging, and the delivery and intermediation more automated and robust. It addresses three main premises:

(i) that Semantic Web technologies should be deployed throughout the content value chain from producer to consumer;

(ii) that advanced signal processing should be employed in the content production phases to extract “pure” features of perceptual significance and represent these in standard vocabularies;

(iii) that this combination of semantic technologies and content-derived metadata leads to advantages (and new products and services) at many points in the value chain, from recording studio to end-user (listener) devices and applications.

This five-year EPSRC project brings the very latest technologies to bear on the entire recorded music industry, end-to-end, producer to consumer, making the production process more fruitful, the consumption process more engaging, and the delivery and intermediation more automated and robust. It addresses three main premises:

(i) that Semantic Web technologies should be deployed throughout the content value chain from producer to consumer;

(ii) that advanced signal processing should be employed in the content production phases to extract “pure” features of perceptual significance and represent these in standard vocabularies;

(iii) that this combination of semantic technologies and content-derived metadata leads to advantages (and new products and services) at many points in the value chain, from recording studio to end-user (listener) devices and applications.

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Jun 20th 2017

Prof. Mark Sandler’s guest seminar at McGill’s

Professor Mark Sandler of Queen Mary, University of London (School of Engineering and Computer Science) g

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FAST looking forward to a day of talks, discussions and deep diving in Nottingham. #Fastworkshop @TheOfficialMRLhttps://t.co/7n1O052sV2

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