most citedA Study on Replay Attack and Anti-Spoofing for Automatic Speaker Verification

10 citations · 24 across the 6 of their papers we have counts for

collaborators

7 papers

eess.AS2018

Deep factorization for speech signal

Lantian Li, Dong Wang, Yixiang Chen +3

Various informative factors mixed in speech signals, leading to great difficulty when decoding any of the factors. An intuitive idea is to factorize each speech frame into individu…

cs.CL20174 cited

AP17-OLR Challenge: Data, Plan, and Baseline

Zhiyuan Tang, Dong Wang, Yixiang Chen +1

We present the data profile and the evaluation plan of the second oriental language recognition (OLR) challenge AP17-OLR. Compared to the event last year (AP16-OLR), the new challe…

cs.SD20172 cited

Deep Factorization for Speech Signal

Dong Wang, Lantian Li, Ying Shi +2

Speech signals are complex intermingling of various informative factors, and this information blending makes decoding any of the individual factors extremely difficult. A natural i…

cs.SD2017

Speaker Recognition with Cough, Laugh and "Wei"

Miao Zhang, Yixiang Chen, Lantian Li +1

This paper proposes a speaker recognition (SRE) task with trivial speech events, such as cough and laugh. These trivial events are ubiquitous in conversations and less subjected to…

cs.SD201710 cited

A Study on Replay Attack and Anti-Spoofing for Automatic Speaker Verification

Lantian Li, Yixiang Chen, Dong Wang +1

For practical automatic speaker verification (ASV) systems, replay attack poses a true risk. By replaying a pre-recorded speech signal of the genuine speaker, ASV systems tend to b…

cs.CL2017

Phone-aware Neural Language Identification

Zhiyuan Tang, Dong Wang, Yixiang Chen +2

Pure acoustic neural models, particularly the LSTM-RNN model, have shown great potential in language identification (LID). However, the phonetic information has been largely overlo…