Real Time Audio Synchronization Using Audio Fingerprinting Techniques

In this day and age of widespread multimedia content, it is quite common to listen to a song, wish to identify it and also continue to listen to it in sync, even in the absence of the original sound source. However, this is quite difficult to achieve in noisy environments or in radio transmissions, due to features like time-stretching. Despite the presence of popular query-by-example apps like shazam, there are no applications that combine audio recognition with real-time synchronization of the song. This paper attempts to present a novel method of realtime audio synchronization by making use of established audio fingerprinting techniques and proposing a scaleable distributed handling mechanism for handling larger databases.