Restoring The Missing Features of the Corrupted Speech using Linear Interpolation Methods

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Restoring The Missing Features of the Corrupted Speech using Linear Interpolation Methods

One of the main challenges in the Automatic Speech Recognition (ASR) is the noise. The performance of the ASR system reduces significantly if the speech is corrupted by noise. In spectrogram representation of a speech signal, after deleting low Signal to Noise Ratio (SNR) elements, the incomplete sp...

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Bibliographic Details
Main Authors:	Rassem, Taha H., Makbol, Nasrin M., Hassan, Ali Muttaleb, Siti Syazni, Mohd Zaki, Girija, P. N.
Format:	Conference or Workshop Item
Language:	English
Published:	American Institute of Physics 2017
Subjects:	QA76 Computer software
Online Access:	http://umpir.ump.edu.my/id/eprint/18743/ http://umpir.ump.edu.my/id/eprint/18743/1/ICAST2017_AIP.pdf

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