Music Analysis Using Hidden Markov Mixture Models

@article{Qi2007MusicAU,
  title={Music Analysis Using Hidden Markov Mixture Models},
  author={Yuting Qi and John William Paisley and Lawrence Carin},
  journal={IEEE Transactions on Signal Processing},
  year={2007},
  volume={55},
  pages={5209-5224}
}
We develop a hidden Markov mixture model based on a Dirichlet process (DP) prior, for representation of the statistics of sequential data for which a single hidden Markov model (HMM) may not be sufficient. The DP prior has an intrinsic clustering property that encourages parameter sharing, and this naturally reveals the proper number of mixture components. The evaluation of posterior distributions for all model parameters is achieved in two ways: 1) via a rigorous Markov chain Monte Carlo… CONTINUE READING

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