A speaker embedding network trained with an adversarial keyword recognizer produces more text-independent and discriminative speaker vectors, improving short-keyword speaker verification equal error rates.
If the score is greater than a pre-defined threshold τ, x is accepted as a reference speaker’s utterance; otherwise, it is re- jected
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An End-to-End Text-independent Speaker Verification Framework with a Keyword Adversarial Network
A speaker embedding network trained with an adversarial keyword recognizer produces more text-independent and discriminative speaker vectors, improving short-keyword speaker verification equal error rates.