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

• Autores: Ferrer, Luciana; McLaren, Mitchell
• Año de publicación: 2018
• Idioma: inglés
• Tipo de recurso: documento de conferencia
• Materia: SPEAKER RECOGNITION; PROBABILISTIC LINEAR DISCRIMINANT ANALYSIS
• Institución: Consejo Nacional de Investigaciones Científicas y Técnicas

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, and one that models any remaining variability. The last two terms are assumed to be independent across samples. We recently proposed anextension of the PLDAmethod, whichwetermedJoint PLDA (JPLDA), where the second term is considered dependent on the type of nuisance condition present in the data (e.g., the language or channel). The proposed method led to significant gains for multilanguage speaker recognition when taking language as the nuisance condition. In this paper, we present a generalization of this approach that allows for multiple nuisance terms. We show results using language and several nuisance conditions describing the acoustic characteristics of the sample and demonstrate that jointly including all these factors in the model leads to better results than including only language or acoustic condition factors. Overall, we obtain relative improvements in detection cost function between 5% and 47% for various systems and test conditions with respect to standard PLDA approaches.
Fil: Ferrer, Luciana. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Investigación en Ciencias de la Computación. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Investigación en Ciencias de la Computación; Argentina
Fil: McLaren, Mitchell. Sri International. Speech Technology and Research Lab; Estados Unidos
19th Annual Conference of the International Speech Communication Association: Speech research for emerging markets in multilingual societies
Hyderabad
India
International Speech Communication Association