01702nam a2200253 4500 390350 390350 20110620d2004 y0pory50 ba eng Assessing the discriminative power of voice Pasupathy Naresh Trilok Westchester County, NY Pace University 2004 1 CD-ROM 12 cm "Master’s Dissertation - School of Computer Science and Information System - Pace University - Supervised by Dr. Sung-Hyuk Cha, Dr. Charles Tappert".Disponível em: https://support.csis.pace.edu/CSISWeb/docs/MSThesis/TrilokPasupathyNaresh.pdf (acedido em 20 de Junho de 2011). Ficheiro de 1,03 Mb em formato pdf (57 p.). "This study establishes the individuality of voice, using the discriminative power of biometric data quantitatively. The task of establishing voice modality to discriminate every person is difficult because there are a large number of classes for the entire population. The paper proposes a methodology that is statistically inferable. A many class problem is transformed into a dichotomy by using distances between measurements of intra and inter-person classes. This establishes a thorough distinction of classes and thereby validates distinct individuality. This model remains statistically inferable even when it does not observe all the classes." EXAME À VOZ 346274 IDENTIFICAÇÃO DA VOZ 345486 TESE 334284 ESTADOS UNIDOS 334103 TRILOK Pasupathy Naresh 356575 Oferta 0 PJCD_143_000000000000000 2022-06-06 PJCD143 422037 PJ PJ PJ1CD143_47 PJCD143 2022-06-06 0 MO Oferta