2 citations · 2 across the 2 of their papers we have counts for
4 papers
Reliable Visualization for Deep Speaker Recognition
Pengqi Li, Lantian Li, Askar Hamdulla +1
In spite of the impressive success of convolutional neural networks (CNNs) in speaker recognition, our understanding to CNNs' internal functions is still limited. A major obstacle…
Enhanced exemplar autoencoder with cycle consistency loss in any-to-one voice conversion
Weida Liang, Lantian Li, Wenqiang Du +1
Recent research showed that an autoencoder trained with speech of a single speaker, called exemplar autoencoder (eAE), can be used for any-to-one voice conversion (VC). Compared to…
Local Training for PLDA in Speaker Verification
Chenghui Zhao, Lantian Li, Dong Wang +1
PLDA is a popular normalization approach for the i-vector model, and it has delivered state-of-the-art performance in speaker verification. However, PLDA training requires a large…
Decision Making Based on Cohort Scores for Speaker Verification
Lantian Li, Renyu Wang, Gang Wang +2
Decision making is an important component in a speaker verification system. For the conventional GMM-UBM architecture, the decision is usually conducted based on the log likelihood…