| Spoofing speech detection using high dimensional magnitude and phase features: the NTU approach for ASVspoof 2015 challenge. X Xiao, X Tian, S Du, H Xu, E Chng, H Li Interspeech, 2052-2056, 2015 | 168 | 2015 |
| Aicyber's system for IALP 2016 shared task: Character-enhanced word vectors and Boosted Neural Networks S Du, X Zhang 2016 International Conference on Asian Language Processing (IALP), 161-163, 2016 | 19 | 2016 |
| Dnn feature compensation for noise robust speaker verification S Du, X Xiao, ES Chng 2015 IEEE China Summit and International Conference on Signal and …, 2015 | 11 | 2015 |
| Detecting synthetic speech using long term magnitude and phase information X Tian, S Du, X Xiao, H Xu, ES Chng, H Li 2015 IEEE China Summit and International Conference on Signal and …, 2015 | 9 | 2015 |
| STEVENDU2018’s system in VarDial 2018: Discriminating between Dutch and Flemish in subtitles S Du, YY Wang Proceedings of the Fifth Workshop on NLP for Similar Languages, Varieties …, 2018 | 2 | 2018 |
| Aicyber at SemEval-2016 Task 4: i-vector based sentence representation S Du, Z Xi Proceedings of SemEval, 120-125, 2016 | 1 | 2016 |
| Robust speaker verification system with anti-spoofing detection and DNN feature enhancement modules S Du | | 2015 |
Xiong XiaoPrincipal Applied scientist, MicrosoftVerified email at microsoft.com
