Front-end clipping using visual cues

A computer system, the computer system comprising:

• capturing input, including at least one visual input and at least one audio input, to a first device;
• training a machine learning model to recognize a visual cue indicative of a user desire to speak and predict a volume at which a user will speak based on a visual input from the at least one visual input and an audio input, synchronized to the visual input, from the at least one audio input;
• marking one or more timestamps which are determined, using the model, to correspond to speech in the at least one audio input;
• and
• transmitting an audio input from within the at least one audio input corresponding to the one or more marked timestamps from the first device to a second device.

A computer program product, the computer program product comprising:

• capturing input, including at least one visual input and at least one audio input, to a first device;
• training a machine learning model to recognize a visual cue indicative of a user desire to speak and predict a volume at which a user will speak based on a visual input from the at least one visual input and an audio input, synchronized to the visual input, from the at least one audio input;
• marking one or more timestamps which are determined, using the model, to correspond to speech in the at least one audio input;
• and
• transmitting an audio input from within the at least one audio input corresponding to the one or more marked timestamps from the first device to a second device.