58 citations · 205 across the 130 of their papers we have counts for
4 papers · 2 filters
Loss Prediction: End-to-End Active Learning Approach For Speech Recognition
Jian Luo, Jianzong Wang, Ning Cheng +1
End-to-end speech recognition systems usually require huge amounts of labeling resource, while annotating the speech data is complicated and expensive. Active learning is the solut…
Dropout Regularization for Self-Supervised Learning of Transformer Encoder Speech Representation
Jian Luo, Jianzong Wang, Ning Cheng +1
Predicting the altered acoustic frames is an effective way of self-supervised learning for speech representation. However, it is challenging to prevent the pretrained model from ov…
Unidirectional Memory-Self-Attention Transducer for Online Speech Recognition
Jian Luo, Jianzong Wang, Ning Cheng +1
Self-attention models have been successfully applied in end-to-end speech recognition systems, which greatly improve the performance of recognition accuracy. However, such attentio…
LVCNet: Efficient Condition-Dependent Modeling Network for Waveform Generation
Zhen Zeng, Jianzong Wang, Ning Cheng +1
In this paper, we propose a novel conditional convolution network, named location-variable convolution, to model the dependencies of the waveform sequence. Different from the use o…