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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| வடிவமà¯: | Conference or Workshop Item |
| வெளியீடபà¯à®ªà®Ÿà¯à®Ÿà®¤à¯: |
American Institute of Physics
2017
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| பகà¯à®¤à®¿à®•à®³à¯: | |
| நிகழà¯à®¨à®¿à®²à¯ˆ அணà¯à®•à®²à¯: | http://dx.doi.org/10.1063/1.5005452 http://dx.doi.org/10.1063/1.5005452 http://umpir.ump.edu.my/18743/1/ICAST2017_AIP.pdf |
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