Speech enhancement based on compressive sensing

• Main Authors: Zhih-hao Shih, 施志豪
• Other Authors: Jia-ching Wang
• Format: Others
• Language: en_US
• Published: 2012
• Online Access: http://ndltd.ncl.edu.tw/handle/24257181407588224858

碩士 === 國立中央大學 === 資訊工程研究所 === 100 === Speech enhancement is an active issue which many researchers have devoted to addressing it. However, there is still not a satisfactory method which can deal with different noises. Noise is inevitable, due to the improper recording environmental or imperfect recording device. It is found that the following speech processing would be affected by noise. Therefore, speech enhancement is a very important topic. We can regard speech enhancement as an estimation problem which we estimate the clean speech from noisy measurement. Assume the speech signal is satisfy some kind of statistic model and noise is an uncorrelated random process. We can estimate the enhance signal according to some distortion measure. However, what kind of speech model and distortion measure should be used is still a developing issue. In recent years, a new signal acquisition and reconstruction method, compressive sensing has been proposed this decade. Compressive sensing gives us a new sight of estimating the signal. Hence, in the thesis, we explore how to perform speech enhancement by applying compressive sensing. According to our experimental results, we can find out that the performance of the proposed method performs well in various noise types. Besides, it is much better for dealing with the noise which cannot be addressed well in traditional methods.