Nonstationary sinusoidal modeling with efficient estimation of linear frequency chirp parameters

We present an enhanced sinusoidal modeling system that efficiently parameterizes spectral peaks by linear frequency chirp rate, in addition to the standard parameters of amplitude, center frequency, and phase. Similar to a conventional sinusoidal modeling systems, the current system operates in a frame-by-frame manner, but also efficiently obtains a chirp parameter estimate for each peak in a given frame. We demonstrate an application to voice coding where our model captures most of the significant signal information in a spectrogram operating at double the current system's frame rate.