Gaussian Mixture Modeling (GMM) is a technique used in audio fingerprinting, a process that identifies audio recordings by comparing their acoustic features. GMMs represent audio data as a mixture of Gaussian distributions, with each Gaussian representing a specific acoustic pattern. By fitting a GMM to an audio fingerprint, it is possible to capture the characteristic features of the sound, enabling efficient matching and identification of audio recordings in large databases.
