Audio Compression using Wavelets in MATLAB

Audio frequencies are very important for hearing purposes. The frequencies ranging from 20Hz to 20KHz will not be heard in the same way as expected. The frequencies below 20Hz and above 20KHz are difficult to hear. MATLAB is one of the tools through which the signal processing can be done with great ease. What if there is an application that will accomplish this task? Yes, it is possible through the use of audio compression using wavelets in MATLAB application. People can rely with great ease for audio compression. This will be one of the interesting applications that one can work on and implement in real time world with great ease.

This application can also create transparency. Audio compression is a very good example for speech and speech processing. People can use this application with great ease. This will be unique applications that one can work on and implement in real time world. The storage will be consumed if the audio size is more. Various audio compression techniques are used in this application. This application can help in providing accurate result without any difficulty. Audio sizes are compared before compressing the audio files without any difficulty. The audio compression is used for various entertainment purposes. The user interface will be simple and easy to understand even by the common man. The features that can be included in the audio compression using wavelets in MATLAB application are as follows:

  • Easy access: This application can be accessed anytime and anywhere from the world.
  • User friendly: This application will be user friendly since the user interface will be simple and easy to understand even by the common man.
  • Result: This application can help in providing the accurate result through this application.
  • Comparison: Before compression of the audio files, the audio sizes are being compared with great ease and without any difficulty.
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0 Comments

  • Sravan Kumar

    January 22, 2021 - 3:37 PM

    I want matlab code for audio compression using wavelets

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