Liner Prediction and DCT based De-noising of Speech Signal
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


Downloads: 113 | Views: 636

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



Please Disable the Pop-Up Blocker of Web Browser

Verification Code will appear in 2 Seconds ... Wait



Text copied to Clipboard!
Diksha Sharma, Rupinder Kaur, "Liner Prediction and DCT based De-noising of Speech Signal", International Journal of Science and Research (IJSR), Volume 3 Issue 10, October 2014, pp. 1381-1383, https://www.ijsr.net/getabstract.php?paperid=OCT14259, DOI: https://www.doi.org/10.21275/OCT14259

Top