Cluster-Guided Unsupervised Domain Adaptation for Deep Speaker Embedding

no code implementations • 28 Mar 2023 • Haiquan Mao, Feng Hong, Man-Wai Mak

Inspired by the self-training strategies that use an existing classifier to label the unlabeled data for retraining, we propose a cluster-guided UDA framework that labels the target domain data by clustering and combines the labeled source domain data and pseudo-labeled target domain data to train a speaker embedding network.

Clustering Speaker Verification +1