Title
Speech Enhancement Based on Student t Modeling of Teager Energy Operated Perceptual Wavelet Packet Coefficients and a Custom Thresholding Function
Abstract
This paper presents a speech enhancement approach, where an adaptive threshold is statistically determined based on Student t Modeling of Teager energy (TE) operated perceptual wavelet packet (PWP) coefficients of noisy speech. In order to obtain an enhanced speech, the threshold thus derived is applied upon the PWP coefficients by employing a Student t pdf dependent custom thresholding function, which is designed based on a combination of modified hard and semisoft thresholding functions. Extensive simulations are carried out using the NOIZEUS database to evaluate the effectiveness of the proposed method for car and multi-talker babble noise corrupted speech signals. Several standard objective measures and subjective evaluations including formal listening tests show that the proposed method outperforms some of the state-of-the-art speech enhancement methods at high as well as low levels of SNRs.
Year
DOI
Venue
2015
10.1109/TASLP.2015.2443983
IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP)
Keywords
DocType
Volume
kullback- liebler divergence,perceptual wavelet packet transform,speech enhancement,student t,teager energy,noise,noise measurement,speech,indexes
Journal
PP
Issue
ISSN
Citations 
99
2329-9290
3
PageRank 
References 
Authors
0.39
20
4
Name
Order
Citations
PageRank
Md Tauhidul Islam175.26
Celia Shahnaz230.39
Zhu, Wei-Ping330.39
M. Omair Ahmad49710.30