14 citations · 124 across the 41 of their papers we have counts for
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eess.AS2018
Phonetic-attention scoring for deep speaker features in speaker verification
Lantian Li, Zhiyuan Tang, Ying Shi +1
Recent studies have shown that frame-level deep speaker features can be derived from a deep neural network with the training target set to discriminate speakers by a short speech s…
eess.AS2018
Gaussian-Constrained training for speaker verification
Lantian Li, Zhiyuan Tang, Ying Shi +1
Neural models, in particular the d-vector and x-vector architectures, have produced state-of-the-art performance on many speaker verification tasks. However, two potential problems…
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…