Effective speaker adaptations for speaker verification
ICASSP '00 Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 02
Explicit modelling of session variability for speaker verification
Computer Speech and Language
Fundamentals of Speaker Recognition
Fundamentals of Speaker Recognition
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The effect of time lapse has not been studied well in most biometrics. Here, this effect is studied for Speaker Recognition, namely, Speaker Identification and Speaker Verification. The RecoMadeEasy™ speaker recognition engine has been used to obtain baseline results for 22 speakers who have been involved in a long-term study. The speakers have given data in three seatings with 1 to 2 months delay between consecutive collections. The speakers were real proficiency test candidates who were asked to speak in response to prompts. At each seating, several recordings were made in response to different prompts. The error rates are discussed, going from one seating to the next, for Identification and Verification. Large degradations are seen across different seatings. Two different adaptation techniques have been studied for reducing this discrepancy with very promising results.