SPEECH SIGNAL IMPROVEMENT USING ADAPTIVE ALGORITHM BY CONVERGENCE FACTOR VARIATION
Volume 12 Issue 1 2018
Download| Author(s): | M. Tahir Qadri, Ali Akbar Siddiqui, Noman Ahmed Siddiqui, Fahad Farooq |
|---|---|
| Abstract | Over the past few decades, controlling of noise has become a monumental amount of research. In our proposed work we utilized the concept of adaptive filter for noise cancellation by varying the convergence parameters inorder to obtain the improvise communication signal (speechsignal), it can be considered as an alternative method for estimation the corrupted signal by additive noise. Signals arevery sophisticated to work with as they include multiple frequencies within them and some algorithms are required to amplify them at a point where they can be of any use. We utilize an adaptive filter on MATLAB with changing value of converging factor “μ” and analyze the algorithms interms of LMS (Least Mean Square) algorithm. |
| Keywords | Adaptive Algorithm, Signal Processing, Noisecancellation. |
| Year | 2018 |
| Volume | 12 |
| Issue | 1 |
| Type | Research paper, manuscript, article |
| Journal Name | Journal of Information & Communication Technology | Publisher Name | ILMA University | Jel Classification | - | DOI | - | ISSN no (E, Electronic) | 2075-7239 | ISSN no (P, Print) | 2415-0169 | Country | Pakistan | City | Karachi | Institution Type | University | Journal Type | Open Access | Manuscript Processing | Blind Peer Reviewed | Format | Paper Link | https://jict.ilmauniversity.edu.pk/journal/jict/12.1/6.pdf | Page | 43-46 |