Dianwen Ng

According to our database, Dianwen Ng authored at least 17 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Noise robust distillation of self-supervised speech models via correlation metrics.

Fabian Ritter Gutierrez, Kuan-Po Huang, Dianwen Ng, Jeremy Heng Meng Wong, Hung-yi Lee, Eng Siong Chng, Nancy F. Chen

CoRR, 2023

MossFormer2: Combining Transformer and RNN-Free Recurrent Network for Enhanced Time-Domain Monaural Speech Separation.

Shengkui Zhao, Yukun Ma, Chongjia Ni, Chong Zhang, Hao Wang, Trung Hieu Nguyen, Kun Zhou, Jia Qi Yip, Dianwen Ng, Bin Ma

CoRR, 2023

SPGM: Prioritizing Local Features for enhanced speech separation performance.

Jia Qi Yip, Shengkui Zhao, Yukun Ma, Chongjia Ni, Chong Zhang, Hao Wang, Trung Hieu Nguyen, Kun Zhou, Dianwen Ng, Eng Siong Chng, Bin Ma

CoRR, 2023

Are Soft Prompts Good Zero-shot Learners for Speech Recognition?

Dianwen Ng, Chong Zhang, Ruixi Zhang, Yukun Ma, Fabian Ritter Gutierrez, Trung Hieu Nguyen, Chongjia Ni, Shengkui Zhao, Eng Siong Chng, Bin Ma

CoRR, 2023

ACA-Net: Towards Lightweight Speaker Verification using Asymmetric Cross Attention.

Jia Qi Yip, Tuan Truong, Dianwen Ng, Chong Zhang, Yukun Ma, Trung Hieu Nguyen, Chongjia Ni, Shengkui Zhao, Eng Siong Chng, Bin Ma

CoRR, 2023

Contrastive Speech Mixup for Low-resource Keyword Spotting.

Dianwen Ng, Ruixi Zhang, Jia Qi Yip, Chong Zhang, Yukun Ma, Trung Hieu Nguyen, Chongjia Ni, Eng Siong Chng, Bin Ma

CoRR, 2023

Adaptive Knowledge Distillation between Text and Speech Pre-trained Models.

Jinjie Ni, Yukun Ma, Wen Wang, Qian Chen, Dianwen Ng, Han Lei, Trung Hieu Nguyen, Chong Zhang, Bin Ma, Erik Cambria

CoRR, 2023

deHuBERT: Disentangling Noise in a Self-supervised Model for Robust Speech Recognition.

Dianwen Ng, Ruixi Zhang, Jia Qi Yip, Zhao Yang, Jinjie Ni, Chong Zhang, Yukun Ma, Chongjia Ni, Eng Siong Chng, Bin Ma

CoRR, 2023

Adaptive Knowledge Distillation Between Text and Speech Pre-Trained Models.

Jinjie Ni, Yukun Ma, Wen Wang, Qian Chen, Dianwen Ng, Han Lei, Trung Hieu Nguyen, Chong Zhang, Bin Ma, Erik Cambria

Proceedings of the IEEE International Conference on Acoustics, 2023

Contrastive Speech Mixup for Low-Resource Keyword Spotting.

Dianwen Ng, Ruixi Zhang, Jia Qi Yip, Chong Zhang, Yukun Ma, Trung Hieu Nguyen, Chongjia Ni, Eng Siong Chng, Bin Ma

Proceedings of the IEEE International Conference on Acoustics, 2023

De'hubert: Disentangling Noise in a Self-Supervised Model for Robust Speech Recognition.

Dianwen Ng, Ruixi Zhang, Jia Qi Yip, Zhao Yang, Jinjie Ni, Chong Zhang, Yukun Ma, Chongjia Ni, Eng Siong Chng, Bin Ma

Proceedings of the IEEE International Conference on Acoustics, 2023

Analysis of Speech Separation Performance Degradation on Emotional Speech Mixtures.

Jia Qi Yip, Dianwen Ng, Bin Ma, Chng Eng Siong

Proceedings of the Asia Pacific Signal and Information Processing Association Annual Summit and Conference, 2023

2022

I2CR: Improving Noise Robustness on Keyword Spotting Using Inter-Intra Contrastive Regularization.

Dianwen Ng, Jia Qi Yip, Tanmay Surana, Zhao Yang, Chong Zhang, Yukun Ma, Chongjia Ni, Eng Siong Chng, Bin Ma

CoRR, 2022

Small Footprint Multi-channel ConvMixer for Keyword Spotting with Centroid Based Awareness.

Dianwen Ng, Jin Hui Pang, Yang Xiao, Biao Tian, Qiang Fu, Eng Siong Chng

CoRR, 2022

Convmixer: Feature Interactive Convolution with Curriculum Learning for Small Footprint and Noisy Far-Field Keyword Spotting.

Dianwen Ng, Yunqi Chen, Biao Tian, Qiang Fu, Eng Siong Chng

Proceedings of the IEEE International Conference on Acoustics, 2022

Intra-Inter Subject Self-Supervised Learning for Multivariate Cardiac Signals.

Xiang Lan, Dianwen Ng, Shenda Hong, Mengling Feng

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Adversarial Domain Adaptation with Correlation-Based Association Networks for Longitudinal Disk Fault Prediction.

Xiang Lan, Dianwen Ng, Yi Liu, Jiongzhou Liu, Fan Xu, Cheng He, Mengling Feng

Proceedings of the International Joint Conference on Neural Networks, 2021