Audio Compression Using a Modified Discrete Cosine Transform with Temporal Auditory Masking
Ayodeji Olalekan Salau, Ifetayo Oluwafemi, Kehinde Felix Faleye, Shruti Jain · 2019
In recent years, audio compression has become a very popular area of research. Today, innovations in audio signal processing are used in numerous applications which include advanced audio coding (AAC), perceptual audio coding schemes (MP3 encoding), internet radio and other lossless audio coding schemes. This paper proposesan algorithm for the compression of audio signals using Discrete Cosine Transform (DCT) with temporal auditory masking (TAM). Furthermore, we have developed a system for audio data compression and evaluated the proposed algorithm using its compression ratio (CR), peak signal to noise ratio (PSNR) and transmission delay (TD). The experimental results show that the proposed algorithm gives a compression ratio (CR) of 4:1 of the original signal. All the simulations are carried out using Octave Signal Processing Tool kit and the codes are written in Octave with C programming language.