Description: Text Dependent (TD) Speaker Recognition systems assume that the password to be uttered by the speaker is known to the system. As the password is known, the system can apply a password-specific model capturing the speaker dynamics well. This enables TD systems to perform better than text- independent systems. We present a variation of the TD systems, called text-conditioning, in which the password is uniquely chosen by each user. This delivers a higher level of discrimination since the linguistic and phonetic differences of the passwords themselves are exploited in separating the speakers. As the for such a study was not publicly available, we built an extensive for speaker recognition having such text-conditioning property. The is tested with various speaker recognition trials. The results indicate that for the design of a practical TD speaker- recognition system, “text-conditioning” does offer a significant edge.
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