Title :
Efficient musical noise suppression for speech enhancement system
Author :
Esch, Thomas ; Vary, Peter
Author_Institution :
Inst. of Commun. Syst. & Data Process., RWTH Aachen Univ., Aachen
Abstract :
Noise reduction techniques that are relying on spectral weighting rules often generate annoying musical noise artifacts in the processed signal. In this paper, we present a postfilter (PF) for the spectral weighting gains that is capable of reducing musical noise in a simple but efficient way. It includes a robust detector for speech pauses and low SNR conditions and adaptively smoothes the weighting gains over frequency based on soft-decisions. Objective and subjective measurements show consistent improvements if the postfilter is applied to conventional noise reduction techniques.
Keywords :
filtering theory; interference suppression; noise abatement; signal denoising; spectral analysis; speech enhancement; SNR conditions; musical noise artifacts; musical noise reduction; musical noise suppression; noise reduction techniques; postfilter; signal processing; spectral weighting rules; speech enhancement system; Detectors; Frequency; Noise generators; Noise measurement; Noise reduction; Noise robustness; Signal generators; Signal processing; Signal to noise ratio; Speech enhancement; Speech enhancement; adaptive smoothing; musical noise; postfilter;
Conference_Titel :
Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on
Conference_Location :
Taipei
Print_ISBN :
978-1-4244-2353-8
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2009.4960607