1. A computer-implemented method for manipulating electronic multimedia content, the method comprising: generating, using a processor, a speech model, a non-speech model, at least one speaker model of an individual speaker, and a non-speaker speech model; receiving electronic media content over a network; extracting an audio track from the electronic media content; detecting speech segments within the extracted audio track based on the speech model and the non-speech model, the speech segments containing speech from at least one of a plurality of speakers; detecting a speaker segment within the detected speech segments based on the speaker model and the non-speaker speech model, the speaker segment containing speech from the individual speaker; calculating a first probability of the detected speaker segment involving the individual speaker based on the at least one speaker speech model and the non-speaker speech model; determining a ranking or filtration of the electronic media content relative to other electronic media content based on the first probability of the detected speaker segment; detecting a face within a part of the electronic media content corresponding to the detected speaker segment and calculating a second probability of the detected face being a face of the individual speaker; and adjusting the ranking or filtration of the electronic media content based on the second probability.
1. A computer-implemented method for manipulating electronic multimedia content, the method comprising: generating, using a processor, a speech model, a non-speech model, at least one speaker model of an individual speaker, and a non-speaker speech model; receiving electronic media content over a network; extracting an audio track from the electronic media content; detecting speech segments within the extracted audio track based on the speech model and the non-speech model, the speech segments containing speech from at least one of a plurality of speakers; detecting a speaker segment within the detected speech segments based on the speaker model and the non-speaker speech model, the speaker segment containing speech from the individual speaker; calculating a first probability of the detected speaker segment involving the individual speaker based on the at least one speaker speech model and the non-speaker speech model; determining a ranking or filtration of the electronic media content relative to other electronic media content based on the first probability of the detected speaker segment; detecting a face within a part of the electronic media content corresponding to the detected speaker segment and calculating a second probability of the detected face being a face of the individual speaker; and adjusting the ranking or filtration of the electronic media content based on the second probability. 7. The computer implemented method of claim 1 , further comprising: applying speaker segments and their probabilities to detect words spoken by a particular individual speaker.