Multiple fundamental frequency estimation using Gaussian smoothness

@article{Pertusa2008MultipleFF,
  title={Multiple fundamental frequency estimation using Gaussian smoothness},
  author={Antonio Pertusa and Jos{\'e} Manuel I{\~n}esta Quereda},
  journal={2008 IEEE International Conference on Acoustics, Speech and Signal Processing},
  year={2008},
  pages={105-108}
}
The goal of a polyphonic music transcription system is to extract a score from an audio signal. A multiple fundamental frequency estimator is the main piece of these systems, whereas tempo detection and key estimation complement them to correctly extract the score. In this work, in order to detect the fundamental frequencies that are present in a signal, a set of candidates are selected from the spectrum, and all their possible combinations are generated. The best combination is chosen in a… CONTINUE READING
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