8. The method of claim 1 , wherein detecting the voice communication comprises: detecting, using a microphone, audio comprising communication from the human and ambient noise comprising audio of the media asset; and isolating the audio comprising communication from the human from the ambient noise to detect the voice communication.
1. A method for providing recommendations in relation to media assets in gesture recognition computer systems by determining a meaning of cultural gestures based on voice detection, the method comprising: generating for display a media asset for playback; detecting a voice communication from a human using voice detection circuitry during playback of the media asset being consumed by the human; identifying an accent characteristic of the voice communication; cross-referencing the accent characteristic against listings of an accent database; determining, based on the cross-referencing of the accent characteristic, a country of origin of the human; detecting, using imaging circuitry, a gesture made by the human; cross-referencing the gesture against listings of a gesture database associated with the country of origin to determine whether the gesture corresponds to a meaning in the country of origin; determining, based on the cross-referencing of the gesture, a meaning of the gesture in relation to the media asset; and providing a recommendation to the human based on the meaning of the gesture in relation to the media asset.