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.
4. The method of claim 1 , wherein the identifying of the accent characteristic comprise: detecting, using voice processing circuitry, a respective manner of annunciating each syllable of a plurality of syllables of the voice communication; determining whether a threshold amount of syllables correspond to a single respective manner; and in response to determining that the threshold amount of syllables corresponds to the single respective manner, identifying the accent characteristics by determining that the single respective manner corresponds to the accent characteristic.