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2020 – today
- 2024
[c19]Yudong Yang, Rongfeng Su, Xiaokang Liu, Nan Yan, Lan Wang:
An Audio-Textual Diffusion Model for Converting Speech Signals into Ultrasound Tongue Imaging Data. ICASSP 2024: 2170-2174- [i2]Yudong Yang, Rongfeng Su, Xiaokang Liu, Nan Yan, Lan Wang:
An Audio-textual Diffusion Model For Converting Speech Signals Into Ultrasound Tongue Imaging Data. CoRR abs/2403.05820 (2024) - 2023
- [j3]Juan Liu, Xiaoxia Du, Shangjun Lu, Yu-Mei Zhang, An-Ming Hu, Manwa Lawrence Ng, Rongfeng Su, Lan Wang, Nan Yan:
Audio-video database from subacute stroke patients for dysarthric speech intelligence assessment and preliminary analysis. Biomed. Signal Process. Control. 79(Part): 104161 (2023) - [c18]Mengzhe Geng, Xurong Xie, Rongfeng Su, Jianwei Yu, Zengrui Jin, Tianzi Wang, Shujie Hu, Zi Ye, Helen Meng, Xunying Liu:
On-the-Fly Feature Based Rapid Speaker Adaptation for Dysarthric and Elderly Speech Recognition. INTERSPEECH 2023: 1753-1757 - 2022
- [c17]Mengjie Du, Zhijunyi Yang, Rongfeng Su, Nan Yan, Lan Wang:
An Investigation of Magnitude-Based and Phase-Based Features for Large-Scale Speaker Identification. IALP 2022: 173-177 - [c16]Shangjun Lu, Xiaoxia Du, Juan Liu, Yu-Mei Zhang, Shaofeng Zhao, Rongfeng Su, Lan Wang, Nan Yan:
A New Method for Predicting Severity Level of Dysarthric Speech Based on Joint Feature-Sample Selection using Audio-Visual Data. IALP 2022: 190-195 - [c15]Jin Li, Rongfeng Su, Xurong Xie, Lan Wang, Nan Yan:
A Multi-level Acoustic Feature Extraction Framework for Transformer Based End-to-End Speech Recognition. INTERSPEECH 2022: 3173-3177 - [c14]Zhijunyi Yang, Mengjie Du, Rongfeng Su, Xiaokang Liu, Nan Yan, Lan Wang:
A Phone-Level Speaker Embedding Extraction Framework with Multi-Gate Mixture-of-Experts Based Multi-Task Learning. ISCSLP 2022: 240-244 - [c13]Tinghao Zhao, Xiaoxia Du, Juan Liu, Rongfeng Su, Nan Yan, Lan Wang:
Respiratory and laryngeal influences on voice in post-stroke dysarthria: a pilot study. ISCSLP 2022: 364-368 - [i1]Mengzhe Geng, Xurong Xie, Rongfeng Su, Jianwei Yu, Zi Ye, Xunying Liu, Helen Meng:
On-the-fly Feature Based Speaker Adaptation for Dysarthric and Elderly Speech Recognition. CoRR abs/2203.14593 (2022) - 2020
- [j2]Rongfeng Su
, Xunying Liu, Lan Wang, Jingzhou Yang:
Cross-Domain Deep Visual Feature Generation for Mandarin Audio-Visual Speech Recognition. IEEE ACM Trans. Audio Speech Lang. Process. 28: 185-197 (2020) - [c12]Shansong Liu, Xurong Xie, Jianwei Yu, Shoukang Hu, Mengzhe Geng, Rongfeng Su, Shi-Xiong Zhang, Xunying Liu, Helen Meng:
Exploiting Cross-Domain Visual Feature Generation for Disordered Speech Recognition. INTERSPEECH 2020: 711-715
2010 – 2019
- 2019
- [c11]Shansong Liu, Shoukang Hu, Yi Wang, Jianwei Yu, Rongfeng Su, Xunying Liu, Helen Meng:
Exploiting Visual Features Using Bayesian Gated Neural Networks for Disordered Speech Recognition. INTERSPEECH 2019: 4120-4124 - [c10]Tianqi Wang, Quanlei Yan, Jingshen Pan, Feiqi Zhu, Rongfeng Su, Yi Guo, Lan Wang, Nan Yan:
Towards the Speech Features of Early-Stage Dementia: Design and Application of the Mandarin Elderly Cognitive Speech Database. INTERSPEECH 2019: 4529-4533 - 2018
- [c9]Max W. Y. Lam, Shoukang Hu, Xurong Xie, Shansong Liu, Jianwei Yu, Rongfeng Su, Xunying Liu, Helen Meng:
Gaussian Process Neural Networks for Speech Recognition. INTERSPEECH 2018: 1778-1782 - [c8]Rongfeng Su, Xunying Liu, Lan Wang:
Semi-supervised Cross-domain Visual Feature Learning for Audio-Visual Broadcast Speech Transcription. INTERSPEECH 2018: 3509-3513 - 2017
- [c7]Rongfeng Su, Lan Wang, Xunying Liu:
Multimodal learning using 3D audio-visual data for audio-visual speech recognition. IALP 2017: 40-43 - 2016
- [c6]Rongfeng Su, Xunying Liu, Lan Wang:
Convolutional neural network bottleneck features for bi-directional generalized variable parameter HMMs. ICIA 2016: 1126-1131 - [c5]Jun Yu, Rongfeng Su, Lan Wang, Wenpeng Zhou:
A multi-channel/multi-speaker interactive 3D audio-visual speech corpus in Mandarin. ISCSLP 2016: 1-5 - 2015
- [j1]Rongfeng Su, Xunying Liu, Lan Wang:
Automatic Complexity Control of Generalized Variable Parameter HMMs for Noise Robust Speech Recognition. IEEE ACM Trans. Audio Speech Lang. Process. 23(1): 102-114 (2015) - [c4]Xurong Xie, Xunying Liu, Lan Wang, Rongfeng Su:
Generalized variable parameter HMMs based acoustic-to-articulatory inversion. INTERSPEECH 2015: 279-283 - [c3]Rongfeng Su, Xurong Xie, Xunying Liu, Lan Wang:
Efficient use of DNN bottleneck features in generalized variable parameter HMMs for noise robust speech recognition. INTERSPEECH 2015: 2474-2478 - 2014
- [c2]Xurong Xie, Rongfeng Su, Xunying Liu, Lan Wang:
Deep neural network bottleneck features for generalized variable parameter HMMs. INTERSPEECH 2014: 2739-2743 - 2013
- [c1]Rongfeng Su, Xunying Liu, Lan Wang:
Automatic model complexity control for generalized variable parameter HMMs. ASRU 2013: 150-155
Coauthor Index
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