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  1. Chapter and Conference Paper

    Ontological Representation of Audio Features

    Feature extraction algorithms in Music Informatics aim at deriving statistical and semantic information directly from audio signals. These may be ranging from energies in several frequency bands to musical inf...

    Alo Allik, György Fazekas, Mark Sandler in The Semantic Web – ISWC 2016 (2016)

  2. No Access

    Chapter and Conference Paper

    MusicWeb: Music Discovery with Open Linked Semantic Metadata

    This paper presents MusicWeb, a novel platform for music discovery by linking music artists within a web-based application. MusicWeb provides a browsing experience using connections that are either extra-music...

    Mariano Mora-Mcginity, Alo Allik, György Fazekas in Metadata and Semantics Research (2016)

  3. Chapter and Conference Paper

    Facilitating Music Information Research with Shared Open Vocabularies

    There is currently no agreement on common shared representations of audio features in the field of music information retrieval. The Audio Feature Ontology has been developed as part of a harmonised library of ...

    Alo Allik, György Fazekas, Simon Dixon in The Semantic Web: ESWC 2013 Satellite Even… (2013)

  4. Chapter and Conference Paper

    A Shared Vocabulary for Audio Features

    The aim of the Shared Open Vocabulary for Audio Research and Retrieval project is to foster greater agreement on the representation of content-based audio features within music research communities. The Audio ...

    Alo Allik, György Fazekas, Simon Dixon in The Semantic Web: ESWC 2013 Satellite Even… (2013)

  5. No Access

    Chapter and Conference Paper

    Music Emotion Recognition: From Content- to Context-Based Models

    The striking ability of music to elicit emotions assures its prominent status in human culture and every day life. Music is often enjoyed and sought for its ability to induce or convey emotions, which may mani...

    Mathieu Barthet, György Fazekas, Mark Sandler in From Sounds to Music and Emotions (2013)

  6. No Access

    Chapter and Conference Paper

    Interactive Music Applications and Standards

    Music is now consumed in interactive applications that allow for the user to directly influence the musical performance. These applications are distributed as games for gaming consoles and applications for mob...

    Rebecca Stewart, Panos Kudumakis, Mark Sandler in Exploring Music Contents (2011)

  7. No Access

    Chapter and Conference Paper

    Speech/Music Discrimination in Audio Podcast Using Structural Segmentation and Timbre Recognition

    We propose two speech/music discrimination methods using timbre models and measure their performances on a 3 hour long database of radio podcasts from the BBC. In the first method, the machine estimated classi...

    Mathieu Barthet, Steven Hargreaves, Mark Sandler in Exploring Music Contents (2011)

  8. No Access

    Chapter and Conference Paper

    Musically Meaningful or Just Noise? An Analysis of On-line Artist Networks

    A sample of the Myspace social network is examined. Using methods from complex network theory, we show empirically that the structure of the Myspace artist network is related to the concept of musical genre. A...

    Kurt Jacobson, Mark Sandler in Computer Music Modeling and Retrieval. Gen… (2009)