Pitch Estimation for the Separation of Musical Sounds
We present a pitch estimation method for the separation of musical sounds. From a sinusoid plus autoregressive noise model of the composite signal, we successively estimate the fundamental frequencies using the Minimum Description Length principle or Rissanen Criterion. Equivalent to a penalized log-likelihood, this criterion also allows to detect the onset and offset of each sound. The detection is based upon the likelihood gap between the estimate model and a simple autoregressive model. Several simulations for single or multiple musical sounds are performed to illustrate the effectiveness of the method.
Click to purchase paper or login as an AES member. If your company or school subscribes to the E-Library then switch to the institutional version. If you are not an AES member and would like to subscribe to the E-Library then Join the AES!
This paper costs $20 for non-members, $5 for AES members and is free for E-Library subscribers.