Selective all-pole modeling of degraded speech using M-band decomposition

This paper describes a speech enhancement system which exploits both time- and frequency-localized behavior. The local characteristics are obtained from stationary regions selected by M-band decomposition with an adaptive analysis window. The spectrum of each selected region is estimated with an all-pole model. In order to model only the spectral region of interest, selective linear prediction (SLP) is used. By modeling the local spectrum, either independently or dependently, with respect to other enhanced spectral regions, and adjusting the model order to the local characteristics, a balanced-tradeoff between noise reduction and speech distortion can be achieved