Speech recognition enhancement by psychoacoustic modeled noise suppression

This paper proposes a spectral subtraction based speech enhancement algorithm that improves computer based speech recognition. Speech recognition can not be improved by traditional spectral subtraction techniques because of the associated artifacts, such as musical noise. This paper proposes a tonal noise suppression algorithm which can he used for accurate psychoacoustic model parameter estimation. Simulation results show that the spectral subtraction based speech enhancement algorithm with psychoacoustic masking produced by the estimated parameters produces high quality clean speech, which can be used as preprocessing tools to enhance the speech recognition rate. Simulation results using Aurora 3 database are presented