activity
20152026
most citedCN-CELEB: a challenging Chinese speaker recognition dataset

13 citations · 126 across the 71 of their papers we have counts for

collaborators
Showing 2016Show all

8 papers · 1 filter

cs.CL2016★ 3 cited

AP16-OL7: A Multilingual Database for Oriental Languages and A Language Recognition Baseline

Dong Wang, Lantian Li, Difei Tang +1

We present the AP16-OL7 database which was released as the training and test data for the oriental language recognition (OLR) challenge on APSIPA 2016. Based on the database, a bas…

cs.SD2016★ 2 cited

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…

cs.SD2016

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…

cs.CL2016★ 3 cited

Multi-task Recurrent Model for True Multilingual Speech Recognition

Zhiyuan Tang, Lantian Li, Dong Wang

Research on multilingual speech recognition remains attractive yet challenging. Recent studies focus on learning shared structures under the multi-task paradigm, in particular a fe…

cs.SD2016★ 2 cited

Collaborative Learning for Language and Speaker Recognition

Lantian Li, Zhiyuan Tang, Dong Wang +3

This paper presents a unified model to perform language and speaker recognition simultaneously and altogether. The model is based on a multi-task recurrent neural network where the…

cs.LG2016★ 1 cited

Weakly Supervised PLDA Training

Lantian Li, Yixiang Chen, 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…

cs.CL2016★ 9 cited

Multi-task Recurrent Model for Speech and Speaker Recognition

Zhiyuan Tang, Lantian Li, Dong Wang

Although highly correlated, speech and speaker recognition have been regarded as two independent tasks and studied by two communities. This is certainly not the way that people beh…

cs.CL2016★ 1 cited

System Combination for Short Utterance Speaker Recognition

Lantian Li, Dong Wang, Xiaodong Zhang +2

For text-independent short-utterance speaker recognition (SUSR), the performance often degrades dramatically. This paper presents a combination approach to the SUSR tasks with two…