activity
20202024
most citedApplying Wav2vec2.0 to Speech Recognition in Various Low-resource Languages

58 citations · 150 across the 81 of their papers we have counts for

collaborators
Showing 2021Show all

8 papers · 1 filter

cs.SD2021★ 2 cited

Speech2Video: Cross-Modal Distillation for Speech to Video Generation

Shijing Si, Jianzong Wang, Xiaoyang Qu +4

This paper investigates a novel task of talking face video generation solely from speeches. The speech-to-video generation technique can spark interesting applications in entertain…

cs.SD2021★ 2 cited

Variational Information Bottleneck for Effective Low-resource Audio Classification

Shijing Si, Jianzong Wang, Huiming Sun +6

Large-scale deep neural networks (DNNs) such as convolutional neural networks (CNNs) have achieved impressive performance in audio classification for their powerful capacity and st…

eess.AS2021

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…

eess.AS2021

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…

eess.AS2021★ 2 cited

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…

cs.CL2021

Joint Intent Detection And Slot Filling Based on Continual Learning Model

Yanfei Hui, Jianzong Wang, Ning Cheng +3

Slot filling and intent detection have become a significant theme in the field of natural language understanding. Even though slot filling is intensively associated with intent det…