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dc.contributor.authorAnglade, Amelie
dc.date.accessioned2015-07-06T11:53:11Z
dc.date.available2015-07-06T11:53:11Z
dc.date.issued30/04/2014
dc.identifier.citationAnglade, A. 2014. Logic-based Modelling of Musical Harmony for Automatic Characterisation and Classificationen_US
dc.identifier.urihttp://qmro.qmul.ac.uk/xmlui/handle/123456789/7852
dc.descriptionThe copyright of this thesis rests with the author and no quotation from it or information derived from it may be published without the prior written consent of the author
dc.description.abstractMusic like other online media is undergoing an information explosion. Massive online music stores such as the iTunes Store1 or Amazon MP32, and their counterparts, the streaming platforms, such as Spotify3, Rdio4 and Deezer5, offer more than 30 million6 pieces of music to their customers, that is to say anybody with a smart phone. Indeed these ubiquitous devices offer vast storage capacities and cloud-based apps that can cater any music request. As Paul Lamere puts it7: “we can now have a virtually endless supply of music in our pocket. The ‘bottomless iPod’ will have as big an effect on how we listen to music as the original iPod had back in 2001. But with millions of songs to chose from, we will need help finding music that we want to hear [...]. We will need new tools that help us manage our listening experience.” Retrieval, organisation, recommendation, annotation and characterisation of musical data is precisely what the Music Information Retrieval (MIR) community has been working on for at least 15 years (Byrd and Crawford, 2002). It is clear from its historical roots in practical fields such as Information Retrieval, Information Systems, Digital Resources and Digital Libraries but also from the publications presented at the first International Symposium on Music Information Retrieval in 2000 that MIR has been aiming to build tools to help people to navigate, explore and make sense of music collections (Downie et al., 2009). That also includes analytical tools to supporten_US
dc.language.isoenen_US
dc.publisherQueen Mary University of London
dc.subjectElectronic Engineeringen_US
dc.subjectChina Educationen_US
dc.subjectEducation Chinaen_US
dc.subjectTeamworken_US
dc.titleLogic-based Modelling of Musical Harmony for Automatic Characterisation and Classificationen_US
dc.typeThesisen_US
dc.rights.holderThe copyright of this thesis rests with the author and no quotation from it or information derived from it may be published without the prior written consent of the author


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