The techniques developed by Singh and her colleagues at Carnegie Mellon analyse and compare tiny differences, imperceptible to the human ear, in how individuals articulate speech. They then break recorded speech down into tiny snippets of audio, milliseconds in duration, and use AI techniques to comb through these snippets looking for unique identifiers.

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