Audio Compression Using Matlab Project Code

ABSTRACT

         Speech compression is the technique of converting human speech into an efficiently encoded format that can later be decoded to produce a close approximation of the original signal. The merits of the compression technique are reduction in storage space, bandwidth, transmission power and energy. An efficient algorithm Discrete Wavelet Transform (DWT) is employed for decomposition of original signal into wavelets coefficients at different scales and positions and these coefficients are truncated to perform encoding and decoding. The compression technique used in this project is better than other earlier coding techniques like μ-law coding, code excited linear predictive coding. Speech compression plays a prominent role in speech signal processing such as satellite communications, internet communications, transmission of biomedical signals and other applications. Wavelet is one of the recent developments to overcome the limitations of Fourier transform of signal analysis which has the special ability to examine signal simultaneously in both time and frequency. Wavelet analysis is breaking up of an original signal into scaled and shifted versions called the mother wavelet. Wavelet Transform has emerged as a recent powerful mathematical tool in many areas of science and technology, more so in the field of signal processing

PROJECT OUTPUT

PROJECT VIDEO

Contact:

Mr. Roshan P. Helonde

Mobile: +91-7276355704

WhatsApp: +91-7276355704

Email: roshanphelonde@rediffmail.com