1. Home
2. Premium
3. IEEE ICASSP 2020 Virtual Conference May 2020
4. Bayesian Estimation Of Plda With Noisy Training Labels, With Applications To Speaker Verification

Bayesian Estimation Of Plda With Noisy Training Labels, With Applications To Speaker Verification

Collection:

IEEE ICASSP 2020 Virtual Conference May 2020

This paper proposes a method for Bayesian estimation of probabilistic linear discriminant analysis (PLDA) when training labels are noisy. Label errors can be expected during e.g. large or distributed data collections, or for crowd-sourced data labeling. B

• IEEE MemberUS $11.00
• Society MemberUS $0.00
• IEEE Student MemberUS $11.00
• Non-IEEE MemberUS $15.00

Purchase

Videos in this product

Bayesian Estimation Of Plda With Noisy Training Labels, With Applications To Speaker Verification

00:12:05

0 views

This paper proposes a method for Bayesian estimation of probabilistic linear discriminant analysis (PLDA) when training labels are noisy. Label errors can be expected during e.g. large or distributed data collections, or for crowd-sourced data labeling. B