This document discusses audio compression using multiple transformation techniques for audio applications. It compares the Discrete Cosine Transform (DCT) and Discrete Wavelet Transform (DWT) for compressing audio signals. The DCT and DWT are applied to audio signals to generate new data sets with smaller values, achieving compression. Performance is evaluated using metrics like compression ratio, peak signal-to-noise ratio, signal-to-noise ratio, and normalized root mean square error. The results show that DWT provides a lower compression ratio but higher performance metrics compared to DCT. Overall, the document examines using DCT and DWT transforms to compress audio signals and compares their performance.