Spectral Analysis in the Presence of Noise Using Linear Prediction Coding and Homomorphic Processing


Authors : Salem A. Alturky; Abdullah A. Alnaim

Volume/Issue : Volume 6 - 2021, Issue 1 - January

Google Scholar : http://bitly.ws/9nMw

Scribd : https://bit.ly/2LBl69P

Abstract : It is claimed that the spectral analysis schemes, which are based on an explicit model of the speech signal (homomorphic and linear predictive analysis), are sensitive to errors in the model. In particular, speech is usually recorded in the presence of some type of background noise. In this research paper, the changes in the spectral envelope caused by the presence of additive white noise will be explored.

Keywords : Fourier analysis, Homomorphic analysis, Linear Prediction Coding

It is claimed that the spectral analysis schemes, which are based on an explicit model of the speech signal (homomorphic and linear predictive analysis), are sensitive to errors in the model. In particular, speech is usually recorded in the presence of some type of background noise. In this research paper, the changes in the spectral envelope caused by the presence of additive white noise will be explored.

Keywords : Fourier analysis, Homomorphic analysis, Linear Prediction Coding

Video Explanation for Published paper

Never miss an update from Papermashup

Get notified about the latest tutorials and downloads.

Subscribe by Email

Get alerts directly into your inbox after each post and stay updated.
Subscribe
OR

Subscribe by RSS

Add our RSS to your feedreader to get regular updates from us.
Subscribe