Spectral correlation based on the cross-spectrum
Douglas J. Nelson · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2003
We present new signal processing methods which may be used to estimate a high resolution spectrum. These methods are idally suited to the analysis of non-stationary signal components, such as speech formants or pitch. In addition, we present a new spectral correlation method, which may be used to provide accurate estimates of the frequency differences of the formants of linguistically similar utterances spoken by different speakers. These algorithms are accurate and simple and may be easily automated. These algorithms are based on a deterministic speech model and a cross-spectral representation computed from a short time Fourier transform.