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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Dec 11th 2017

FAST C4DM team wins best paper at the ISMIR Conference, 23 – 27 Oct.

Members of the FAST IMPACt project team from C4DM, Queen Mary University of London and Oxford e-Research

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FAST C4DM team wins best paper at ISMIR 2017 https://t.co/1cCorQuv4z @c4dm @OxfordeResearch @TheOfficialMRL

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