Noise Estimation Based on Series Expansion of Orthogonal Functions

摘要：

In this paper, noise estimation based on series expansion of orthogonal functions is proposed. The proposed method searches speechless frequency regions and estimates the noise spectrum from the searched speechless frequency regions. The proposed method can adapt to changing of noise power without estimation delay. Experimental results show that the proposed method provides a good performance against timevarying noise.

关键词： noise estimation series expansion of orthogonal functions spectral subtraction speech enhancement speechless frequency regions

作者: Taiji AKASAKA Tetsuya SHIMAMURA

作者单位: Graduate School of Science and Engineering, Saitama University 255 Okubo, Sakura-ku, Saitama, 338-8570 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: 115-118

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）