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

• 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/18743/1/ICAST2017_AIP.pdf; http://umpir.ump.edu.my/id/eprint/18743/; http://dx.doi.org/10.1063/1.5005452; http://dx.doi.org/10.1063/1.5005452
• Institution: Universiti Malaysia Pahang

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...