melspectrum007 / bayesian-pitch-tracking-using-harmonic-model

Fast Bayesian pitch tracking using the harmonic model

Bayesian Pitch Tracking Using Harmonic model

A fast pitch tracking algorithm using the harmonic model.

How to run

Run run_white_example.m (white Gaussian noise) or run_colored_example.m (factory noise) in MATLAB

How to cite

Shi L, Nielsen J K, Jensen J R, et al. Bayesian Pitch Tracking Based on the Harmonic Model[J]. IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2019.

References

This fast computation of the likelihood function is based on the fast pitch estimation method proposed in

Fast fundamental frequency estimation: Making a statistically efficient estimator computationally efficient. Nielsen, Jesper Kjær; Jensen, Tobias Lindstrøm; Jensen, Jesper Rindom; Christensen, Mads Græsbøll; Jensen, Søren Holdt. In: Signal Processing, 135, 2017, pp. 188-197.

Bayesian Model Comparison With the g-Prior. Nielsen, Jesper Kjær; Christensen, Mads Græsbøll; Cemgil, Ali Taylan; Jensen, Søren Holdt. In: IEEE Transactions on Signal Processing, 62 (1), 2014, pp. 225-238.

where the source code is available in https://github.com/jkjaer/fastF0Nls

This noise PSD tracker is based on the method proposed in

Gerkmann, T. & Hendriks, R. C. Unbiased MMSE-Based Noise Power Estimation With Low Complexity and Low Tracking Delay, IEEE Trans Audio, Speech, Language Processing, 2012, 20, 1383-1393

where the source code is available in http://www.ee.ic.ac.uk/hp/staff/dmb/voicebox/voicebox.html