Downloads: 113 | Views: 624
Research Paper | Electronics & Communication Engineering | India | Volume 3 Issue 10, October 2014 | Popularity: 6.1 / 10
Liner Prediction and DCT based De-noising of Speech Signal
Diksha Sharma, Rupinder Kaur
Abstract: The proposed algorithm adopts LP residual as one of the sparse representation of speech, considering it is feasible and advantageous, as analyzed in the previous section. To make full use of the sparsity of speech, DCT coefficients are also included to contribute as a measurement. The proposed algorithm aims to recover the clean speech, whose LP residual and DCT coefficients are both sparse, via solving an optimization problem under a series of constraints.
Keywords: DCT Linear Prediction, Speech Enhancement
Edition: Volume 3 Issue 10, October 2014
Pages: 1381 - 1383
Make Sure to Disable the Pop-Up Blocker of Web Browser
Similar Articles
Downloads: 44 | Weekly Hits: ⮙1 | Monthly Hits: ⮙1
Masters Thesis, Electronics & Communication Engineering, India, Volume 11 Issue 1, January 2022
Pages: 51 - 62An Automated Detection and Segmentation of Tumor in Brain MRI using Machine Learning Technique
Priyanka Bharti
Downloads: 196 | Weekly Hits: ⮙1 | Monthly Hits: ⮙1
Informative Article, Electronics & Communication Engineering, India, Volume 4 Issue 10, October 2015
Pages: 188 - 191Realization of Smart City Using 5G Cognitive Radio
Lalit Chettri, Syed Sazad
Downloads: 128 | Weekly Hits: ⮙1 | Monthly Hits: ⮙1
Research Paper, Electronics & Communication Engineering, India, Volume 7 Issue 6, June 2018
Pages: 1662 - 1664Enhancement of Gray Level Image by Fuzzy and Filter Technique
Monalisa Pandey, Pankaj Sharma
Downloads: 159 | Weekly Hits: ⮙1 | Monthly Hits: ⮙1
Case Studies, Electronics & Communication Engineering, India, Volume 9 Issue 6, June 2020
Pages: 746 - 749A Study on Smart Parking Assistance
Faba Sosamma Abraham
Downloads: 152 | Weekly Hits: ⮙1 | Monthly Hits: ⮙1
Comparative Studies, Electronics & Communication Engineering, India, Volume 9 Issue 6, June 2020
Pages: 750 - 753A Comparative Study on the Diagnosis of Skin Cancer using different Models in Deep Learning
Surya S Kumar, Dhanesh M S