Processing of noisy speech using group delay functions

A new noniterative technique for all pole modelling of noisy speech is proposed. We exploit the additive and high resolution properties of a group delay function to identify the high signal to noise ratio (SNR) regions of the short time spectrum and to separate out these regions from the low SNR regions. A modified spectrum is derived from the group delay function in these regions. The new spectrum is used to derive the all pole model for the speech segment. The main advantage of this method is that it is not necessary to have prior knowledge of the noise or speech characteristics as in the other methods of processing noisy speech.