An iterative filterbank approach for extracting sinusoidal parameters from quasi-harmonic sounds

We propose an iterative filterbank method for tracking the parameters of exponentially damped sinusoidal components of quasi-harmonic sounds. The quasi-harmonic criteria specialize our analysis to a wide variety of acoustic instrument recordings while allowing for inharmonicity. The filterbank splits the recorded signal into subbands, one per harmonic, in which time-varying parameters of multiple closely-spaced sinusoids are estimated using a Steiglitz-McBride/Kalman approach. Averaged instantaneous frequency estimates are used to update the center frequencies and bandwidths of the subband filters; by so doing, the filterbank progressively adapts to the inharmonicity structure of a source recording.