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 database for such a study was not publicly available, we built an extensive database for speaker recognition having such text-conditioning property. The database 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.
Bibliographic reference. Das, Amitava / Chittaranjan, Gokul / Anumanchipalli, Gopala K. (2008): "Usefulness of text-conditioning and a new database for text-dependent speaker recognition research", In INTERSPEECH-2008, 1925-1928.