INVESTIGADORES
FERRER Luciana
congresos y reuniones científicas
Título:
iVector Fusion of Prosodic and Cepstral Features for Speaker Verification
Autor/es:
M. KOCKMANN; LUCIANA FERRER; L. BURGET; J. CERNOCKY
Lugar:
Florencia
Reunión:
Congreso; Interspeech Conference; 2011
Institución organizadora:
ISCA
Resumen:
In this paper we apply the promising iVector extraction technique followed by PLDA modeling to simple prosodic contour features. With this procedure we achieve results comparable to a system that models much more complex prosodic features using our recently proposed SMM-based iVector modeling technique. We then propose a combination of both prosodic iVectors by joint PLDA modeling that leads to significant improvements over individual systems with an EER of 5.4% on NIST SRE 2008 telephone data. Finally, we can combine these two prosodic iVector front ends with a baseline cepstral iVector system to achieve up to 21% relative reduction in new DCF.