108 citations · 276 across the 7 of their papers we have counts for
7 papers
Adversarial Speaker Adaptation
Zhong Meng, Jinyu Li, Yifan Gong
We propose a novel adversarial speaker adaptation (ASA) scheme, in which adversarial learning is applied to regularize the distribution of deep hidden features in a speaker-depende…
Adversarial Speaker Verification
Zhong Meng, Yong Zhao, Jinyu Li +1
The use of deep networks to extract embeddings for speaker recognition has proven successfully. However, such embeddings are susceptible to performance degradation due to the misma…
Attentive Adversarial Learning for Domain-Invariant Training
Zhong Meng, Jinyu Li, Yifan Gong
Adversarial domain-invariant training (ADIT) proves to be effective in suppressing the effects of domain variability in acoustic modeling and has led to improved performance in aut…
Conditional Teacher-Student Learning
Zhong Meng, Jinyu Li, Yong Zhao +1
The teacher-student (T/S) learning has been shown to be effective for a variety of problems such as domain adaptation and model compression. One shortcoming of the T/S learning is…
Acoustic-To-Word Model Without OOV
Jinyu Li, Guoli Ye, Rui Zhao +2
Recently, the acoustic-to-word model based on the Connectionist Temporal Classification (CTC) criterion was shown as a natural end-to-end model directly targeting words as output u…
Large-Scale Domain Adaptation via Teacher-Student Learning
Jinyu Li, Michael L. Seltzer, Xi Wang +2
High accuracy speech recognition requires a large amount of transcribed data for supervised training. In the absence of such data, domain adaptation of a well-trained acoustic mode…