111 citations · 389 across the 65 of their papers we have counts for
13 papers · 1 filter
Human and Machine Speaker Recognition Based on Short Trivial Events
Miao Zhang, Xiaofei Kang, Yanqing Wang +4
Trivial events are ubiquitous in human to human conversations, e.g., cough, laugh and sniff. Compared to regular speech, these trivial events are usually short and unclear, thus ge…
Full-info Training for Deep Speaker Feature Learning
Lantian Li, Zhiyuan Tang, Dong Wang +1
In recent studies, it has shown that speaker patterns can be learned from very short speech segments (e.g., 0.3 seconds) by a carefully designed convolutional & time-delay deep neu…
Enhanced Neural Machine Translation by Learning from Draft
Aodong Li, Shiyue Zhang, Dong Wang +1
Neural machine translation (NMT) has recently achieved impressive results. A potential problem of the existing NMT algorithm, however, is that the decoding is conducted from left t…
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…
Memory-augmented Chinese-Uyghur Neural Machine Translation
Shiyue Zhang, Gulnigar Mahmut, Dong Wang +1
Neural machine translation (NMT) has achieved notable performance recently. However, this approach has not been widely applied to the translation task between Chinese and Uyghur, p…
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…