Bridging Fan Communities and Facilitating Access to Music Archives through Semantic Audio Applications
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T. Wilmering, F. Thalmann, G. Fazekas, and MA. B.. Sandler, "Bridging Fan Communities and Facilitating Access to Music Archives through Semantic Audio Applications," Engineering Brief 387, (2017 October.). doi:
T. Wilmering, F. Thalmann, G. Fazekas, and MA. B.. Sandler, "Bridging Fan Communities and Facilitating Access to Music Archives through Semantic Audio Applications," Engineering Brief 387, (2017 October.). doi:
Abstract: Semantic Audio is an emerging field in the intersection of signal processing, machine learning, knowledge representation, and ontologies unifying techniques involving audio analysis and the Semantic Web. These mechanisms enable the creation of new applications and user experiences for music communities. We present a case study focusing on what Semantic Audio can offer to a particular fan base, that of the Grateful Dead, characterized by a profoundly strong affinity with technology and the internet. We discuss an application that combines information drawn from existing platforms and results from the automatic analysis of audio content to infer higher-level musical information, providing novel user experiences particularly in the context of live music events.
@article{wilmering2017bridging,
author={wilmering, thomas and thalmann, florian and fazekas, györgy and sandler, mark b.},
journal={journal of the audio engineering society},
title={bridging fan communities and facilitating access to music archives through semantic audio applications},
year={2017},
volume={},
number={},
pages={},
doi={},
month={october},}
@article{wilmering2017bridging,
author={wilmering, thomas and thalmann, florian and fazekas, györgy and sandler, mark b.},
journal={journal of the audio engineering society},
title={bridging fan communities and facilitating access to music archives through semantic audio applications},
year={2017},
volume={},
number={},
pages={},
doi={},
month={october},
abstract={semantic audio is an emerging field in the intersection of signal processing, machine learning, knowledge representation, and ontologies unifying techniques involving audio analysis and the semantic web. these mechanisms enable the creation of new applications and user experiences for music communities. we present a case study focusing on what semantic audio can offer to a particular fan base, that of the grateful dead, characterized by a profoundly strong affinity with technology and the internet. we discuss an application that combines information drawn from existing platforms and results from the automatic analysis of audio content to infer higher-level musical information, providing novel user experiences particularly in the context of live music events.},}
TY - paper
TI - Bridging Fan Communities and Facilitating Access to Music Archives through Semantic Audio Applications
SP -
EP -
AU - Wilmering, Thomas
AU - Thalmann, Florian
AU - Fazekas, György
AU - Sandler, Mark B.
PY - 2017
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - October 2017
TY - paper
TI - Bridging Fan Communities and Facilitating Access to Music Archives through Semantic Audio Applications
SP -
EP -
AU - Wilmering, Thomas
AU - Thalmann, Florian
AU - Fazekas, György
AU - Sandler, Mark B.
PY - 2017
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - October 2017
AB - Semantic Audio is an emerging field in the intersection of signal processing, machine learning, knowledge representation, and ontologies unifying techniques involving audio analysis and the Semantic Web. These mechanisms enable the creation of new applications and user experiences for music communities. We present a case study focusing on what Semantic Audio can offer to a particular fan base, that of the Grateful Dead, characterized by a profoundly strong affinity with technology and the internet. We discuss an application that combines information drawn from existing platforms and results from the automatic analysis of audio content to infer higher-level musical information, providing novel user experiences particularly in the context of live music events.
Semantic Audio is an emerging field in the intersection of signal processing, machine learning, knowledge representation, and ontologies unifying techniques involving audio analysis and the Semantic Web. These mechanisms enable the creation of new applications and user experiences for music communities. We present a case study focusing on what Semantic Audio can offer to a particular fan base, that of the Grateful Dead, characterized by a profoundly strong affinity with technology and the internet. We discuss an application that combines information drawn from existing platforms and results from the automatic analysis of audio content to infer higher-level musical information, providing novel user experiences particularly in the context of live music events.
Authors:
Wilmering, Thomas; Thalmann, Florian; Fazekas, György; Sandler, Mark B.
Affiliations:
Queen Mary University of London, London, UK; Centre for Digital Music (C4DM)(See document for exact affiliation information.)
AES Convention:
143 (October 2017)eBrief:387
Publication Date:
October 8, 2017Import into BibTeX
Subject:
Posters—Part 2
Permalink:
http://www.aes.org/e-lib/browse.cfm?elib=19335
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