A Study on Noise Estimation Based on Robust Equation Error IIR ADF for Speech

摘要：

In this paper, we propose the noise estimation method based on system identification with an equation error infinite impulse response (IIR) adaptive digital filter (ADF). We have investigated the speech enhancement based on a linear prediction error filter (LPEF) and a system identification model. However, the conventional system estimates the background noise by a finite impulse response (FIR) filter, therefore, a kind of background noise, which can be estimated, is limited. In addition, the estimation accuracy of the background noise is deteriorated due to disturbance in a speech section. Thus, the robust IIR ADF is introduced to noise estimation. In case that an output error IIR ADF is used, the system has the problem of stability. On the other hand, though the equation error IIR ADF guarantees system stability, the tap coefficients converge with a bias due to disturbance. In order for an adaptive algorithm to converge without a bias, the equation error IIR ADF, which uses the correlation as an input signal, is adopted. The IIR ADF takes advantage of independence between a desired signal and disturbance. Since the disturbance does not have the correlation from the desired signal, the tap coefficients converge without the bias.

关键词： speech enhancement adaptive filter LPEF

作者: Naoto Sasaoka Akira Hasegawa James Okello Yoshio Itoh Masaki Kobayashi

作者单位: Graduate School of Engineering, Tottori University 4-101 Koyama-Minami, Tottori, 680-8552 Japan System IP Core Research Laboratories NEC Corporation, Shimonumabe Nakahara Kawasaki, Kanagawa, 211-8 College of Engineering Chubu University, 1200 Matsumoto Kasugai, Aichi, 487-8501 Japan

会议类型: 国际会议

会议名称: 2010 IEEE 10th International Conference on Signal Processing(第十届信号处理国际会议 ICSP 2010)

会议地点: 北京

会议语种:英文

页码: 127-130

在线出版日期: 2010-08-24（万方平台首次上网日期，不代表论文的发表时间）