Fast communication: Nonlinear spectral subtraction method for colored noise reduction using multi-band Bark scale

Authors:
Radu Mihnea Udrea;Nicolae Vizireanu;Silviu Ciochina;Simona Halunga
Affiliations:
Telecommunications Department, Politehnica University of Bucharest, Bucharest, Romania;Telecommunications Department, Politehnica University of Bucharest, Bucharest, Romania;Telecommunications Department, Politehnica University of Bucharest, Bucharest, Romania;Telecommunications Department, Politehnica University of Bucharest, Bucharest, Romania
Venue:
Signal Processing
Year:
2008

Citing 1
Cited 7

Single-channel speech enhancement in variable noise-level environment

IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans

Fast communication: Signal-dependent constraints for perceptually motivated suppression of late reverberation

Signal Processing
Enhancement of single channel speech using perceptual-decision-directed approach

Speech Communication
Application of perceptual filtering models to noisy speech signals enhancement

Journal of Electrical and Computer Engineering
Design and Implementation of a Fixed-Mobile Convergent Music Search Engine (FMC-MUSE)

Wireless Personal Communications: An International Journal
Bandpass Filter with Wide Stopband Using Composite Right/Left Handed Transmission Line

Wireless Personal Communications: An International Journal
Reduction of musical residual noise using block-and-directional-median filter adapted by harmonic properties

Speech Communication
Closed-Form Solutions to the Pareto Boundary and Distributed Beamforming Strategy for the Two-User MISO Interference Channel

Wireless Personal Communications: An International Journal

Quantified Score

Hi-index	0.08

Visualization

Abstract

We propose an improved spectral subtraction method for the reduction of colored acoustic noise added to the speech in a helicopter cockpit or in a car caused by the engine sound. Our implementation uses an over-estimation subtraction method for spectral subtraction. The noise signal does not affect uniformly the speech signal over the whole spectrum. A nonlinear multi-band Bark scale frequency spacing approach is proposed to reduce the colored noise. Simulations show a better quality in terms of Itakura-Saito distance and perceptual evaluation of quality for the enhanced speech.