2018/03/03 by Tauhidul Islam, Islam, Md Tauhidul, Celia Shahnaz +2
Computer Science · Engineering · #Acoustic Wave Phenomena Research #Advanced Adaptive Filtering Techniques #Audio and Speech Processing (eess.AS) #FOS: Computer and information sciences #FOS: Electrical engineering #Sound (cs.SD) #Speech and Audio Processing #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.1803.01841
openalex publication_date 2018/03/03 · openalex created_date 2022/10/02 · openalex updated_date 2026/07/28
This paper presents a speech enhancement method, where an adaptive threshold\nis statistically determined based on Gaussian modeling of Teager energy (TE)\noperated perceptual wavelet packet (PWP) coefficients of noisy speech. In order\nto obtain an enhanced speech, the threshold thus derived is applied upon the\nPWP coefficients by employing a Gaussian pdf dependent custom thresholding\nfunction, which is designed based on a combination of modified hard and\nsemisoft thresholding functions. The effectiveness of the proposed method is\nevaluated for car and multi-talker babble noise corrupted speech signals\nthrough performing extensive simulations using the NOIZEUS database. The\nproposed method is found to outperform some of the state-of-the-art speech\nenhancement methods not only at at high but also at low levels of SNRs in the\nsense of standard objective measures and subjective evaluations including\nformal listening tests.\n