Determining and tagging languages in audio files

A system for at least one of automatically detecting, tagging, and removing a human language stored in an audio file, the system comprising:

• an application for detecting the human language;
• a machine learning logic to train the application,
• wherein the trained application receives and loads each channel of the audio file, which is an audio deliverable for motion picture and television;
• and
• a filter to set parameters and filter each channel of the audio file to detect and tag the human language, and to generate a list of timecodes and the corresponding human language detected.

A non-transitory computer-readable storage medium storing a computer program to automatically detect, tag, and remove a human language stored in an audio file, the computer program comprising executable instructions that cause a computer to:

• train an application for detecting the human language using machine learning;
• load each channel of the audio file into the trained application,
• wherein the audio file is an audio deliverable for motion picture and television;
• set parameters and filter each channel of the audio file to detect and tag the human language;
• and
• generate a list of timecodes and the corresponding human language detected.