Polyphonic piano note transcription with non-negative matrix factorization of differential spectrogram

@article{Gao2017PolyphonicPN,
  title={Polyphonic piano note transcription with non-negative matrix factorization of differential spectrogram},
  author={Lufei Gao and Li Su and Yi-Hsuan Yang and Tan Lee},
  journal={2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  year={2017},
  pages={291-295}
}
Automatic music transcription is usually approached by using a time-frequency (TF) representation such as the short-time Fourier transform (STFT) spectrogram or the constant-Q transform. In this paper, we propose a novel yet simple TF representation that capitalizes the effectiveness of spectral flux features in highlighting note onset times. We refer to this representation as the differential spectrogram and investigate its usefulness for note-level piano transcription using two different non… CONTINUE READING

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