Fast and Robust Meter and Tempo Recognition for the Automatic Discrimination of Ballroom Dance Styles

@article{Schuller2007FastAR,
  title={Fast and Robust Meter and Tempo Recognition for the Automatic Discrimination of Ballroom Dance Styles},
  author={Bj{\"o}rn W. Schuller and Florian Eyben and Gerhard Rigoll},
  journal={2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07},
  year={2007},
  volume={1},
  pages={I-217-I-220}
}
Fast and robust recognition of a song's meter, and quarter note tempo is crucial in many music information retrieval tasks dealing especially with large databases or real-time musical stream processing. We therefore introduce a novel approach that is capable of extracting musical meter features and tempo in beats per minute. The method is extendable in order to return the locations of beat onsets suitable for example for beat synchronization or musical audio segmentation. We use a simplified… CONTINUE READING
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