Title :
Multi-microphone noise reduction technique based on upsampling and IIR-RLS filter with less computational load
Author :
Mohammed, Jafar Ramadhan
Author_Institution :
Electron. Eng. Coll., Univ. of Mosul, Mosul
Abstract :
A multi-microphone noise reduction system based on upsamling and IIR-RLS filter has been proposed to reduce additive noise in noisy speech. However, the multi-microphone system uses several adaptive IIR-RLS filters and thus the system cannot avoid increasing computational load. In this paper, the multi-microphone noise reduction system with less computational load is proposed. Since the IIR-RLS filter is located behind the fixed beamformer of the proposed system only one IIR-RLS filter is required for an arbitrary number of microphones. Simulation results, in a noisy and reverberant environment with 0.3s reverberation time, show that the proposed system produces results that are significantly favorable than traditional multi-microphone noise reduction system with less computational complexity.
Keywords :
IIR filters; least squares approximations; microphone arrays; signal denoising; signal sampling; speech processing; IIR-RLS Filter; additive noise; computational complexity; fixed beamformer; multimicrophone noise reduction technique; noisy speech; upsampling; Adaptive filters; Adaptive systems; Additive noise; Computational complexity; Computational modeling; Microphones; Noise reduction; Reverberation; Speech enhancement; Working environment noise;
Conference_Titel :
Intelligent and Advanced Systems, 2007. ICIAS 2007. International Conference on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4244-1355-3
Electronic_ISBN :
978-1-4244-1356-0
DOI :
10.1109/ICIAS.2007.4658578