Analysis and Recognition of Esophageal Speech

This paper presents a system for analysis and recognition of voiced segments in Spanish esophageal speech. This algorithm involves voiced speech segments analysis methods based in energy criterion and zero crossing, as well as, feature extraction using a wavelet function based on the inner ear model and the recognition stage through the artificial neural networks. Simulation results are presented for normal and esophageal speech.