Speech segmentation using multilevel hybrid filters

A novel approach for speech segmentation is proposed, based on Multilevel Hybrid (mean{}/min{}) Filters (MHF) with the following features: • An accurate transition location. • Good performance in noisy environments (gaussian & impulsive noise). The proposed method is based on spectral changes, with the goal of segmenting the voice into homogeneous acoustic segments. This algorithm is being used for phonetically-segmented speech coder, with successful results.