Harmonic-Temporal-Timbral Clustering (HTTC) for the analysis of multi-instrument polyphonic music signals

@article{Miyamoto2008HarmonicTemporalTimbralC,
  title={Harmonic-Temporal-Timbral Clustering (HTTC) for the analysis of multi-instrument polyphonic music signals},
  author={Kenichi Miyamoto and Hirokazu Kameoka and Takuya Nishimoto and Nobutaka Ono and Shigeki Sagayama},
  journal={2008 IEEE International Conference on Acoustics, Speech and Signal Processing},
  year={2008},
  pages={113-116}
}
In this paper, we discuss a new approach named Harmonic-Temporal-Timbral Clustering (HTTC) for the analysis of single- channel audio signal of multi-instrument polyphonic music to estimate the pitch, onset timing, power and duration of all the acoustic events and to classify them into timbre categories simultaneously. Each acoustic event is modeled by a harmonic structure and a smooth envelope both represented by Gaussian mixtures. Based on the similarity between these spectro- temporal… CONTINUE READING
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