Reliable classification of spectral peaks as tonal and noise-related 
is an important stage of hybrid sinusoidal+noise modeling. 
Spectral peaks of higher harmonics are often missed due to their wide 
frequency spread resulting from pitch variation. Recently introduced 
fan-chirp transform allows for compensating the changes of fundamental 
fre-quency in the process of spectral analysis of speech and harmonic sounds. 
In case of polyphonic audio the funda-mental is often not unique 
and/or is hard to estimate. We propose a simple technique for estimation of 
chirp rates from already detected partials to improve the detection of 
higher harmonics through the application of frequency warping and 
fan-chirp analysis.