A Comparative Study on Compression and Compressed Sensing of Speech Signals
International journal of engineering research and technology, 2018
Speech processing is the fastest growing technology due to its applications in various fields suc... more Speech processing is the fastest growing technology due to its applications in various fields such as research, forensic and aid for blind people. This paper describes speech processing techniques which involve improving the signal to noise ratio, reducing the compression rate and decreasing the bandwidth required for transmission involving minimum error in the signal at the receiver end. The speech compression and compressed sensing is done using MP3 technique which is basically compression and decompression using DCT-IDCT technique as well as a comparative study between compressed sensing and compression of speech signals based on Word Error Rate (WER), Peak Signal to Noise Ratio (PSNR), Mean Square Error (MSE) and Compression Ratio using MATLAB R2009a as software.
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Papers by Flavita Pinto