Language agnostic missing subtitle detection

A computer-implemented method comprising:

• receiving an audio component and a subtitle component associated with a media presentation, the audio component including an audio sequence, the audio sequence divided into a plurality of audio segments;
• evaluating the plurality of audio segments using a combination of a first neural network and a second neural network to identify refined speech segments associated with the audio sequence, the first neural network trained based on a plurality of languages, the second neural network trained based on a plurality of categories of sound, wherein the first neural network evaluates a first set of audio segments of the plurality of audio segments, each audio segment in the first set of audio segments having a first duration, and wherein the second neural network evaluates a second set of audio segments of the plurality of audio segments, each audio segment in the second set of audio segments having a second duration, the second duration being longer than the first duration;
• determining timestamps associated with the identified refined speech segments;
• and
• determining missing subtitles based on the timestamps associated with the identified refined speech segments and timestamps associated with subtitles included in the subtitle component.

A system comprising:

• memory configured to store computer-executable instructions;
• and
• at least one computer processor configured to access the memory and execute the computer-executable instructions to:
• receive an audio component and a subtitle component associated with a media presentation, the audio component including an audio sequence, the audio sequence divided into a plurality of audio segments;
• evaluate the plurality of audio segments using a combination of a first neural network and a second neural network to identify refined speech segments associated with the audio sequence, the first neural network trained based on a plurality of languages, the second neural network trained based on a plurality of categories of sound, wherein the first neural network evaluates a first set of audio segments of the plurality of audio segments, each audio segment in the first set of audio segments having a first duration, and wherein the second neural network evaluates a second set of audio segments of the plurality of audio segments, each audio segment in the second set of audio segments having a second duration, the second duration being longer than the first duration;
• determine timestamps associated with the identified refined speech segments;
• and
• determine missing subtitles based on the timestamps associated with the identified refined speech segments and timestamps associated with subtitles included in the subtitle component.