Audio fingerprinting is a technology that identifies audio content by creating a unique digital signature for each sound. This signature is generated by analyzing various features of the audio, such as pitch, tempo, and frequency patterns. Once created, these fingerprints can be stored in a database for quick comparison. When a new audio sample is introduced, its fingerprint is generated and matched against the database. This allows for rapid identification of songs, speeches, or other audio clips, making it useful for applications like music recognition apps and copyright enforcement.