A generalization of PLDA for joint modeling of speaker identity and multiple nuisance conditions

Probabilistic linear discriminant analysis (PLDA) is the leading method for computing scores in speaker recognition systems. The method models the vectors representing each audio sample as a sum of three terms: one that depends on the speaker identity, one that models the within-speaker variability,...

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Detalles Bibliográficos
Autores principales: Ferrer, L., McLaren, M., Sekhar C.C., Rao P., Ghosh P.K., Murthy H.A., Yegnanarayana B., Umesh S., Alku P., Prasanna S.R.M., Narayanan S.
Formato: CONF
Materias:
Probabilistic linear discriminant analysis
Speaker recognition
Cost functions
Discriminant analysis
Speech communication
Speech processing
Acoustic characteristic
Acoustic conditions
Joint modeling
Speaker recognition system
Speaker variability
Test condition
Speech recognition
Acceso en línea:http://hdl.handle.net/20.500.12110/paper_2308457X_v2018-September_n_p82_Ferrer
Aporte de:
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires

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