Abstract: The present disclosure describes a method and a system for determining a 3-dimensional data structure of an audio file, and a playback position in the audio file for synchronization of media playbacks. In many circumstances the media files while displayed in a theater, TV or mobile display comprise an audio track which may not be comfortable to minority of the audiences. According to some embodiments, the methods and the systems discloses in present invention determines the 3-Dimensional data structure of an audio file and based on which the playback position of the audio file from a media source is determined. In another embodiment of the invention, the method and the system of the present invention also provides synchronization of the playback to ensure that the alternate audio file runs in sync with the original audio file or video file. FIG. 1 is the representative figure.

Abstract: The goal of the audio recognition and synchronization algorithm is to obtain the timestamp (start) of a smaller microphone recorded audio track in a larger (original/unmodified) audio track and to synchronize with the second language track based on the timestamp retrieved. In order to get the position of recorded audio track in original track we first generate a finger print of the original audio track. Next, we run a similar process for the recorded track to generate a second finger print. Given the finger print of the original audio track and the recorded audio track (created above) we can detect the timestamp of the recorded audio track in the original audio track. This is accomplished by matching the frequencies in the finger prints and checking if these frequencies correspond in time. Finally, we apply a detection algorithm to get the timestamp.

Abstract: In one aspect of the embodiment, the method includes an algorithm to derive sensitive data values through a series of complex calculations based on various iterations of byte dissociation followed by complex mathematical operations and byte concatenations. In another aspect of the embodiment, the sensitive data management algorithm protects data by creating a library coded in the C programming language which on decompilation gives native machine learning code. This sensitive data protection library is coded and compiled as .so files which reside at the core level deep inside the application layer, thus being only accessible through the application layer code by proper access interface layer.