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

International Journal of Science and Research (IJSR)
www.ijsr.net | Most Trusted Research Journal Since Year 2012

ISSN: 2319-7064



Research Paper | Electronics & Communication Engineering | India | Volume 3 Issue 10, October 2014

Liner Prediction and DCT based De-noising of Speech Signal

Diksha Sharma, Rupinder Kaur

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

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How to Cite this Article?

Diksha Sharma, Rupinder Kaur, "Liner Prediction and DCT based De-noising of Speech Signal", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=OCT14259, Volume 3 Issue 10, October 2014, 1381 - 1383

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