Method and system for compressing a speech signal using nonlinear prediction

摘要

A speech signal is sampled (110) to form a sequence of speech data (400). The sequence of speech data (400) is segmented (120) into overlapping segments (410). Speech coefficients are generated (210) by fitting each segment (410) to a nonlinear predictive coding equation. The nonlinear predictive coding equation includes a linear predictive coding equation with linear terms, and additionally includes at least one cross term that is proportional to a product of two or more of the linear terms. If the segment is voiced, a sinusoidal term is included in the nonlinear predictive coding equation and sinusoidal parameters are generated (240). Otherwise, a noise term is included (260) in the nonlinear predictive coding equation. The speech coefficients, a voiced bit, and, if the segment is voiced, the sinusoidal parameters are included as compressed speech data.