Content-Based Audio Retrieval (CBAR) is a technique that allows users to search for and retrieve audio files based on the actual content of the audio rather than metadata or tags. It leverages audio signal processing and machine learning to analyze and index audio features such as melody, harmony, rhythm, and timbre for efficient querying and retrieval.