Zobrazeno 1 - 10
of 12
pro vyhledávání: '"M.S. Zilovic"'
Publikováno v:
IEEE Transactions on Speech and Audio Processing. 6:260-267
A common problem in speaker identification systems is that a mismatch in the training and testing conditions sacrifices much performance. We attempt to alleviate this problem by proposing new features that show less variation when speech is corrupted
Publikováno v:
IEEE Transactions on Speech and Audio Processing. 3:117-125
Various linear predictive (LP) analysis methods are studied and compared from the points of view of robustness to noise and of application to speaker identification. The key to the success of the LP techniques is in separating the vocal tract informa
Publikováno v:
IEEE Transactions on Speech and Audio Processing. 5:84-86
In speaker recognition systems, the adaptive component weighted (ACW) cepstrum has been shown to be more robust than the conventional linear predictive (LP) cepstrum. The ACW cepstrum is derived from a pole-zero transfer function whose denominator is
Publikováno v:
Proceedings 1995 Canadian Conference on Electrical and Computer Engineering.
A common problem in speaker identification systems is that a mismatch in the training and testing conditions sacrifices much performance. The authors attempt to alleviate this problem by proposing new features that show less variation when speech is
Publikováno v:
IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications. 39:476-478
A new kind of circular bound on the zeros of polynomials is derived by determining Cauchy's bound on zeros of its transformed pair first. The transformation is based on a nonlinear transformation of the variable, which conceptually should give a bett
Autor:
Manish Sharma, Kevin R. Farrell, Khaled Assaleh, Devang Naik, M.S. Zilovic, Richard J. Mammone
Publikováno v:
Automatic Systems for the Identification and Inspection of Humans.
A new system is presented for text-dependent speaker verification. The system uses data fusion concepts to combine the results of distortion-based and discriminant-based classifiers. Hence, both intraspeaker and interspeaker information are utilized
Publikováno v:
Automatic Systems for the Identification and Inspection of Humans.
In this paper, various linear predictive (LP) analysis methods are studied and compared from the points of view of robustness to noise and of application to speaker identification. The key of the success of LP techniques is in separating the vocal tr
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