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A framework to provide fine-grained time-dependent context for active listening experiences

Joren Six UGent and Marc Leman UGent (2017) Proceedings of AES Conference on Semantic Audio 2017.
abstract
This work presents a system that is able to provide fine-grained time-dependent context while listening to recorded music. By utilizing acoustic fingerprinting techniques the system recognizes which music is playing in the environment and also determines an exact playback position. This makes it possible to provide context at exactly the right time. The design of the system can be used to augment listening experiences with lyrics, scores, tablature or even music videos. To test the concept, a prototype has been built that is able to give feedback that coincides with the beat of music playing in the users environment. The system is evaluated with respect to timing and is able to respond to beats within 16 ms on average.
Please use this url to cite or link to this publication:
author
organization
year
type
conference (other)
publication status
in press
subject
keyword
Acoustic Fingerprinting
in
Proceedings of AES Conference on Semantic Audio 2017
conference name
2017 AES INTERNATIONAL CONFERENCE ON SEMANTIC AUDIO
conference location
Erlangen
conference start
2017-06-22
conference end
2017-06-24
language
English
UGent publication?
yes
classification
C1
copyright statement
I have transferred the copyright for this publication to the publisher
id
8521721
handle
http://hdl.handle.net/1854/LU-8521721
date created
2017-05-31 07:59:28
date last changed
2017-06-06 07:47:22
@inproceedings{8521721,
  abstract     = {This work presents a system that is able to provide fine-grained time-dependent context while listening to recorded music. By utilizing acoustic fingerprinting techniques the system recognizes which music is playing in the environment and also determines an exact playback position. This makes it possible to provide context at exactly the right time. The design of the system can be used to augment listening experiences with lyrics, scores, tablature or even music videos. To test the concept, a prototype has been built that is able to give feedback that coincides with the beat of music playing in the users environment. The system is evaluated with respect to timing and is able to respond to beats within 16 ms on average.},
  author       = {Six, Joren and Leman, Marc},
  booktitle    = {Proceedings of AES Conference on Semantic Audio 2017},
  keyword      = {Acoustic Fingerprinting},
  language     = {eng},
  location     = {Erlangen},
  title        = {A framework to provide fine-grained time-dependent context for active listening experiences},
  year         = {2017},
}

Chicago
Six, Joren, and Marc Leman. 2017. “A Framework to Provide Fine-grained Time-dependent Context for Active Listening Experiences.” In Proceedings of AES Conference on Semantic Audio 2017.
APA
Six, J., & Leman, M. (2017). A framework to provide fine-grained time-dependent context for active listening experiences. Proceedings of AES Conference on Semantic Audio 2017. Presented at the 2017 AES INTERNATIONAL CONFERENCE ON SEMANTIC AUDIO.
Vancouver
1.
Six J, Leman M. A framework to provide fine-grained time-dependent context for active listening experiences. Proceedings of AES Conference on Semantic Audio 2017. 2017.
MLA
Six, Joren, and Marc Leman. “A Framework to Provide Fine-grained Time-dependent Context for Active Listening Experiences.” Proceedings of AES Conference on Semantic Audio 2017. 2017. Print.