An audio fingerprinting system for live version identification using image processing techniques

@article{Rafii2014AnAF,
  title={An audio fingerprinting system for live version identification using image processing techniques},
  author={Zafar Rafii and Bob Coover and Jinyu Han},
  journal={2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  year={2014},
  pages={644-648}
}
Suppose that you are at a music festival checking on an artist, and you would like to quickly know about the song that is being played (e.g., title, lyrics, album, etc.). If you have a smartphone, you could record a sample of the live performance and compare it against a database of existing recordings from the artist. Services such as Shazam or SoundHound will not work here, as this is not the typical framework for audio fingerprinting or query-by-humming systems, as a live performance is… CONTINUE READING

Citations

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