Speech Signal Compression Algorithm Based on the JPEG Technique

Abstract

The main objective of this paper is to explore parameters usually adopted by the JPEG method and use them in speech signal compression. Speech compression is the technique of encoding the speech signal in some way that allows the same speech parameters to represent the whole signal. In other words, it is to eliminate redundant features of speech and keep only the important ones for the next stage of speech reproduction. In this paper, the proposed method is to adopt the JPEG scheme, which is usually used in digital image compression and digital speech signal compression. This will open the door to use some methods that are already designed to fit two-dimensional (2D) signals and use them in a 1D signal world. The method includes many priori steps for preparing the speech signal to make it more comparable with the JPEG technique. In order to examine the quality of the compressed data using the JPEG method, different quantization matrices with different compression levels have been employed within the proposed method. Comparison results between the original signal and the reproduced (decompressed) signal show a huge matching. However, different quantization matrices could reduce the quality of the reproduced signal, but in general, it is still within the range of acceptance.

Keywords

• data compression
• discrete cosine transforms
• speech signal coding
• speech reconstruction
• dct matrix
• discrete cosine transforms