Abstract

A novel speech enhancement algorithm based on both a decomposition of speech into coexisting deterministic and stochastic components and a psychoacoustic model is proposed. Noisy speech is first decomposed into deterministic and stochastic components, and then each component is enhanced preserving its individual characteristics. A psychoacoustic model is taken into account when enhancing the stochastic component which usually has much lower energy than the deterministic component. Simulation results show that the proposed algorithm performs better than some of the more popular algorithms in terms of segmental signal-to-noise ratio (SNR) and speech recognition rate.

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