A review on speech filtering and its different techniques

Clicks: 229
ID: 13781
2016
Free PDF
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Popular

Ranked #75 of 148 articles by views in adbu journal of engineering technology

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 148 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
Abstract
Speech is a form of communication that most people came across in their day to day life. Speech can be used for many purposes like speech communication, speech recognition, speaker identification etc. In all of these applications a noise free speech signal is highly desired. Therefore to get a noise free speech, different speech processing and speech filtering techniques are used. In this paper we have presented a review on speech processing and different speech filtering techniques. The techniques that we have investigated in this paper are Adaptive filtering, Kalman Filtering, Neural Networks and adaptive neuro-fuzzy filtering and it is found that LMS gives good result in linear noise depending upon the order of the filter and hybrid filtering techniques like ANFIS because it gives the better result in case of non-stationary noise. Keywords: Adaptive Filter, noise cancellation, least mean square adaptive filter, Autoregressive, Kalman filter, neural network, Adaptive neuro-fuzzy filter
Reference Key
bhattacharyya2016aadbu Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Minajul Haque, Kaustubh Bhattacharyya;
Journal adbu journal of engineering technology
Year 2016
DOI
DOI not found
URL
http://journals.dbuniversity.ac.in/ojs/index.php/AJET/article/download/179/188
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.