Interestingly, when the machine heard Cumberbatch doing impressions of Sean Connery and Owen Wilson, the computer identified the voice as Alan Rickman. In six out of the eight impressions tested, Mathematica guessed with more than 99.8 percent confidence that the speaker was Cumberbatch. Results: machine learning could mostly tell the difference between the actors' real voices and the impressions.
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Watch as Benedict Cumberbatch impersonates Taylor Swift, Matthew McConaughey, Tom Hiddleston and many more! Be sure to check out his new movie The Imitation Game (2014) on November 28th. Of a total of 560 snippets, each had the same length, of 3.00 seconds. Also, the snippets needed to be as clean as possible in that there would not be laughter, music, or chatter in the background. The more data used, the more reliable the results, she said. People on the list were John Malcovich, Alan Rickman, Christopher Walken, Michael Caine, Jack Nicholson, Sean Connery and Tom Hiddleston. Mathematica was unleashed to demonstrate its abilities.
"If we take the data of pure voices, does he actually cut the mustard in matching these?" Crook said that "We built a path to each person's snippet database, which Mathematica exported for analysis." (Ten years ago, she reflected, "we would have needed to stroll the streets and play audio snippets to 300 people from the James Bond movies, The Shining, Batman, and Cumberbatch's impression snippets-then survey whether those people were fooled.") So the challenge boiled down to a database of voice samples and snippets from each of Cumberbatch's impression attempts. "Is my psyche just being fooled by the meta-language, perhaps?" she posed. In the spirit of recent events, where Cumberbatch plays Alan Turing in "The Imitation Game," she raised the question into an imitation-test event, where Mathematica's capabilities were showcased with sample voice snippets for examination.
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