Text-prompted speaker recognition methods

Both text-dependent and independent systems share a problem: they are vulnerable to tape recorder attacks. The text-prompted method tries to solve this problem. It uses a small set of words, such as digits as key words. Each user is asked to utter a given sequence of key words that is randomly chosen every time the system is used. The system knows how the randomly selected text should sound if spoken by a particular speaker. This involves a much more sophisticated model than in text-dependent systems where the text is always the same. The typical implementation makes use of digits. In the enrollment phase the speaker is asked to speak a few digit sequences. These are carefully selected in a manner that all digits occur equally often. One speaker-specific model is trained for each digit. In the verification phase a random digit sequence is selected and the corresponding digit models are concatenated into one model per speaker. Such systems can be made language-independent, because speakers typically do not change languages frequently.

It’s only when the system determines that the registered speaker uttered the prompted sentence that it accepts the input utterance. Impostors cannot know in advance the key words they will be prompted to say. However, even this method can be deceived with advanced electronic recording equipment that can reproduce key words in a requested order.

 

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