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 paper 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.
Keywords: Wavelet Transform, speech compression, Filtering, Truncation.