Abstrato

Frequency Dependent Noise Flooring Parameter (FDNFP) For Speech Enhancement

Anuja Chougule, Dr.Mrs.V.V.Patil

An enhancement method for single-channel speech degraded by additive noise is proposed. A spectral weighting functions derived by constrained optimization to suppress noise in the frequency domain. Two design parameters are included in the suppression gain, namely, the frequency-dependent noise flooring parameter (FDNFP) and the gain factor. The FDNFP controls the level of admissible residual noise in the enhanced speech. Enhanced harmonic structures are incorporated into the FDNFP by time-domain processing of the linear prediction residuals of voiced speech. Further enhancement of the harmonics is achieved by adaptive comb filtering derived using the gain factor with a peak-picking algorithm