Research on Generalized Sidelobe Canceller Based on Modified Wavelet Threshold Function
In the microphone array speech enhancement,The coherent noise has a great influence on the accuracy and speech leakage of the delay estimation in the beamforming algorithm.In this paper,the wavelet threshold denoising method is effectively combined with the beamforming algorithm to acting on every signal of microphone array.It can eliminate coherent noise in the signal to reduce noise-induced delay errors and leakage.In the wavelet threshold denoising algorithm,the threshold function directly determines the enhancement effect.So in this paper,we propose an improved continuous threshold function with adjustment parameters and the wavelet coefficients of speech signal with noisy could be processed in the wavelet domain.Speech signal after being eliminate can be obtained through reconstructing.The adaptive beamformer of the generalized sidelobe canceller uses the improved LMS algorithm to speed up the updating speed of the weight coefficient.The simulation results show that compared with the traditional generalized sidelobe canceller,the proposed algorithm improves the signal-to-noise ratio and intelligibility of the speech signal.
Wavelet threshold function denoising LMS algorithm Generalized sidelobe canceller Microphone array
Li Siping Zhang Linghua
School of Communication and Information Engineering University of Nanjing University of Posts and Telecommunications Nanjing,Jiangsu Province,China
国际会议
重庆
英文
339-343
2017-10-03（万方平台首次上网日期，不代表论文的发表时间）