Integrated Approach for Speech Compression Using DWT & DCT

Abstract

ABSTRACT:With the growth of multimedia technology over past decades, the demand for digital information increase dramatically. The enormous demand poses difficulties in handling speech compression. Speech compression is a mature technology with many applications. To overcome this problem is to compress the information by removing redundancies present in it. Lossy compression scheme that is often used to compress information such as speech signals. This paper presents a method of transformation for the compression of speech signal. In this paper a new lossy algorithm to compress speech signal using discrete wavelet transform (DWT) and then again compressed by discrete cosine transform (DCT) then decompressed it by discrete cosine transform afterward decompressed by discrete wavelet transform to retrieve the original signal in compressed form. To measure the performance of speech signal on the basis of signal to noise ratio (SNR) and mean square error (MSE) by using different filter of wavelet families.

Effective Audio Compression using Enhanced Encoding Method

“…To express a sequence of finitely. Many symmetrical discrete and genuine data points [19]. This can be represented in [7], which consists of a set of sampled cosine functions as basis vectors.…”

Audio compression using transforms and high order entropy encoding

“…; each subband of the wavelet coefficients) is decomposed separately using the DCT transform. The (8,9) are applying to get a set of wavelet-DCT coefficients.  The outcomes of wavelet-DCT coefficients are real-valued, and to increase the compression, they must be quantized before compression.…”

“…It is possible to classify audio compression into two groups such as every other digital data compression; these groups are lossless compression and lossy compression [6]. The audio compression technique can be arranged into three functional groups; i) direct forms, ii) parameter extraction forms, and iii) transformation forms [7,8]. The direct forms when the samples of the signal are directly handled to supply compression, parameter extraction forms when a preprocessor is employed to 3460 extract some features that are later utilized to reconstruct the signal.…”