2022
Improving Fairness in Speaker Verification via Group-Adapted Fusion Network
ICASSP 2022accepted
Modern speaker verification models use deep neural networks to encode utterance audio into discriminative embedding vectors. During the training process, these networks are typically optimized to differentiate arbitrary speakers. This learning process biases the learning of fine voice characteristic…