Audio compression plays a crucial role in efficiently storing and transmitting audio data. However, it can introduce artefacts and distortions that affect the quality of the audio and its suitability for downstream speech processing tasks such as Automatic Speech Recognition (ASR), Text-to-Speech (TTS), Speech-to-Text (STT), and speech-to-speech translation. This report provides a detailed analysis of the impact of audio compression on these tasks based on various metrics and visualizations.