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Tingle Li
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2020 – today
- 2024
- [i10]Tingle Li, Renhao Wang, Po-Yao Huang, Andrew Owens, Gopala Anumanchipalli:
Self-Supervised Audio-Visual Soundscape Stylization. CoRR abs/2409.14340 (2024) - 2023
- [c11]Jiachen Lian, Carly Feng, Naasir Farooqi, Steve Li, Anshul Kashyap, Cheol Jun Cho, Peter Wu, Robbie Netzorg, Tingle Li, Gopala Krishna Anumanchipalli:
Unconstrained Dysfluency Modeling for Dysfluent Speech Transcription and Detection. ASRU 2023: 1-8 - [c10]Chenzhuang Du, Jiaye Teng, Tingle Li, Yichen Liu, Tianyuan Yuan, Yue Wang, Yang Yuan, Hang Zhao:
On Uni-Modal Feature Learning in Supervised Multi-Modal Learning. ICML 2023: 8632-8656 - [c9]Peter Wu, Tingle Li, Yijing Lu, Yubin Zhang, Jiachen Lian, Alan W. Black, Louis Goldstein, Shinji Watanabe, Gopala Krishna Anumanchipalli:
Deep Speech Synthesis from MRI-Based Articulatory Representations. INTERSPEECH 2023: 5132-5136 - [i9]Chenzhuang Du, Jiaye Teng, Tingle Li, Yichen Liu, Tianyuan Yuan, Yue Wang, Yang Yuan, Hang Zhao:
On Uni-Modal Feature Learning in Supervised Multi-Modal Learning. CoRR abs/2305.01233 (2023) - [i8]Jiachen Lian, Carly Feng, Naasir Farooqi, Steve Li, Anshul Kashyap, Cheol Jun Cho, Peter Wu, Robbie Netzorg, Tingle Li, Gopala Krishna Anumanchipalli:
Unconstrained Dysfluency Modeling for Dysfluent Speech Transcription and Detection. CoRR abs/2312.12810 (2023) - 2022
- [c8]Tingle Li, Yichen Liu, Andrew Owens, Hang Zhao:
Learning Visual Styles from Audio-Visual Associations. ECCV (37) 2022: 235-252 - [c7]Running Zhao, Jiangtao Yu, Tingle Li, Hang Zhao, Edith C. H. Ngai:
Radio2Speech: High Quality Speech Recovery from Radio Frequency Signals. INTERSPEECH 2022: 4666-4670 - [i7]Tingle Li, Yichen Liu, Andrew Owens, Hang Zhao:
Learning Visual Styles from Audio-Visual Associations. CoRR abs/2205.05072 (2022) - [i6]Running Zhao, Jiangtao Yu, Tingle Li, Hang Zhao, Edith C. H. Ngai:
Radio2Speech: High Quality Speech Recovery from Radio Frequency Signals. CoRR abs/2206.11066 (2022) - 2021
- [c6]Tingle Li, Yichen Liu, Chenxu Hu, Hang Zhao:
CVC: Contrastive Learning for Non-Parallel Voice Conversion. Interspeech 2021: 1324-1328 - [c5]Tingle Li, Jiawei Chen, Haowen Hou, Ming Li:
Sams-Net: A Sliced Attention-based Neural Network for Music Source Separation. ISCSLP 2021: 1-5 - [c4]Chenxu Hu, Qiao Tian, Tingle Li, Yuping Wang, Yuxuan Wang, Hang Zhao:
Neural Dubber: Dubbing for Videos According to Scripts. NeurIPS 2021: 16582-16595 - [i5]Chenzhuang Du, Tingle Li, Yichen Liu, Zixin Wen, Tianyu Hua, Yue Wang, Hang Zhao:
Improving Multi-Modal Learning with Uni-Modal Teachers. CoRR abs/2106.11059 (2021) - [i4]Chenxu Hu, Qiao Tian, Tingle Li, Yuping Wang, Yuxuan Wang, Hang Zhao:
Neural Dubber: Dubbing for Silent Videos According to Scripts. CoRR abs/2110.08243 (2021) - 2020
- [c3]Tingle Li, Qingjian Lin, Yuanyuan Bao, Ming Li:
Atss-Net: Target Speaker Separation via Attention-Based Neural Network. INTERSPEECH 2020: 1411-1415 - [c2]Qingjian Lin, Tingle Li, Ming Li:
The DKU Speech Activity Detection and Speaker Identification Systems for Fearless Steps Challenge Phase-02. INTERSPEECH 2020: 2607-2611 - [c1]Qingjian Lin, Tingle Li, Lin Yang, Junjie Wang, Ming Li:
Optimal Mapping Loss: A Faster Loss for End-to-End Speaker Diarization. Odyssey 2020: 125-131 - [i3]Tingle Li, Qingjian Lin, Yuanyuan Bao, Ming Li:
Atss-Net: Target Speaker Separation via Attention-based Neural Network. CoRR abs/2005.09200 (2020) - [i2]Tingle Li, Yichen Liu, Chenxu Hu, Hang Zhao:
CVC: Contrastive Learning for Non-parallel Voice Conversion. CoRR abs/2011.00782 (2020)
2010 – 2019
- 2019
- [i1]Tingle Li, Jiawei Chen, Haowen Hou, Ming Li:
TF-Attention-Net: An End To End Neural Network For Singing Voice Separation. CoRR abs/1909.05746 (2019)
Coauthor Index
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last updated on 2024-10-23 21:23 CEST by the dblp team
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