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2020 – today
- 2024
[j15]Yaqi Chen
, Xukui Yang, Hao Zhang, Wenlin Zhang, Dan Qu, Cong Chen:
Meta adversarial learning improves low-resource speech recognition. Comput. Speech Lang. 84: 101576 (2024)- [j14]Yaqi Chen, Hao Zhang, Xukui Yang, Wenlin Zhang, Dan Qu:
Improving cross-lingual low-resource speech recognition by Task-based Meta PolyLoss. Comput. Speech Lang. 87: 101648 (2024) - [j13]Yunpeng Liu, Xukui Yang, Dan Qu:
Exploration of Whisper fine-tuning strategies for low-resource ASR. EURASIP J. Audio Speech Music. Process. 2024(1): 29 (2024) - [j12]Yaqi Chen, Hao Zhang, Xukui Yang, Wenlin Zhang, Dan Qu:
Meta-Adaptable-Adapter: Efficient adaptation of self-supervised models for low-resource speech recognition. Neurocomputing 609: 128493 (2024) - [j11]Yaqi Chen, Hao Zhang, Wenlin Zhang, Dan Qu, Xukui Yang:
A Lightweight Task-Agreement Meta Learning for Low-Resource Speech Recognition. Neural Process. Lett. 56(4): 210 (2024) - [j10]Chaolong Hao, Xukui Yang, Quangong Ma, Dan Qu, Ran Wang, Tao Zhang:
Quantum audio LSB steganography with entanglement-assisted modulation. Quantum Inf. Process. 23(3): 106 (2024) - [j9]Hao Zhang, Nianwen Si, Wenlin Zhang, Xukui Yang, Dan Qu:
Improving Speech Translation by Understanding the Speech From Latent Code. IEEE Signal Process. Lett. 31: 1259-1263 (2024) - [c10]Yaqi Chen, Hao Zhang, Xukui Yang, Wenlin Zhang, Dan Qu:
Meta-Adapter for Self-Supervised Speech Models: A Solution to Low-Resource Speech Recognition Challenges. LREC/COLING 2024: 11215-11221 - [c9]Yaqi Chen, Wenlin Zhang, Hao Zhang, Xukui Yang, Dan Qu:
Exploring the Potential of Prompting Methods in Low-Resource Speech Recognition with Whisper. NLPCC (3) 2024: 382-393 - 2023
- [j8]Yaqi Chen, Wenlin Zhang, Hao Zhang, Dan Qu, Xukui Yang:
Task-based Meta Focal Loss for Multilingual Low-resource Speech Recognition. ACM Trans. Asian Low Resour. Lang. Inf. Process. 22(11): 244:1-244:17 (2023) - [j7]Hao Zhang, Nianwen Si, Yaqi Chen, Wenlin Zhang, Xukui Yang, Dan Qu, Weiqiang Zhang:
Improving Speech Translation by Cross-Modal Multi-Grained Contrastive Learning. IEEE ACM Trans. Audio Speech Lang. Process. 31: 1075-1086 (2023) - [c8]Hao Zhang, Nianwen Si, Yaqi Chen, Wenlin Zhang, Xukui Yang, Dan Qu, Zhen Li:
Decoupled Non-Parametric Knowledge Distillation for end-to-End Speech Translation. ICASSP 2023: 1-5 - [c7]Yaqi Chen, Hao Zhang, Xukui Yang, Wenlin Zhang, Dan Qu:
Task-Consistent Meta Learning for Low-Resource Speech Recognition. NLPCC (1) 2023: 349-360 - [i4]Hao Zhang, Nianwen Si, Yaqi Chen, Wenlin Zhang, Xukui Yang, Dan Qu, Zhen Li:
Decouple Non-parametric Knowledge Distillation For End-to-end Speech Translation. CoRR abs/2304.10295 (2023) - [i3]Hao Zhang, Nianwen Si, Yaqi Chen, Wenlin Zhang, Xukui Yang, Dan Qu, Wei-Qiang Zhang:
Improving Speech Translation by Cross-Modal Multi-Grained Contrastive Learning. CoRR abs/2304.10309 (2023) - [i2]Hao Zhang, Dan Qu, Keji Shao, Xukui Yang:
DropDim: A Regularization Method for Transformer Networks. CoRR abs/2304.10321 (2023) - [i1]Hao Zhang, Nianwen Si, Yaqi Chen, Wenlin Zhang, Xukui Yang, Dan Qu, Xiaolin Jiao:
Tuning Large language model for End-to-end Speech Translation. CoRR abs/2310.02050 (2023) - 2022
- [j6]Hao Zhang, Xukui Yang, Dan Qu, Zhen Li:
Bridging the cross-modal gap using adversarial training for speech-to-text translation. Digit. Signal Process. 131: 103764 (2022) - [j5]Hao Zhang, Dan Qu, Keji Shao, Xu-Kui Yang:
DropDim: A Regularization Method for Transformer Networks. IEEE Signal Process. Lett. 29: 474-478 (2022) - [c6]Hao Zhang, Nianwen Si, Yaqi Chen, Zhen Li, Tong Niu, Xukui Yang, Dan Qu:
FCGCL: Fine- and Coarse-Granularity Contrastive Learning for Speech Translation. EMNLP (Findings) 2022: 3048-3059 - [c5]Yajie Zheng, Dan Qu, Xukui Yang, Yaqi Chen, Xiaolin Jiao:
Context Prefix Tree Beam Search Algorithm Based on Domain Classification. MLNLP 2022: 185-189 - 2020
- [c4]Zhefei Yuan, Lianhai Zhang, Xu-Kui Yang, Qi Chen:
Speaker Diarization Based on Improved Loss Functions. ICCPR 2020: 395-399
2010 – 2019
- 2018
- [j4]Xu-Kui Yang, Dan Qu, Wen-Lin Zhang, Wei-Qiang Zhang:
An adapted data selection for deep learning-based audio segmentation in multi-genre broadcast channel. Digit. Signal Process. 81: 8-15 (2018) - [j3]Xu-Kui Yang, Liang He, Dan Qu, Wei-Qiang Zhang:
Semi-supervised minimum redundancy maximum relevance feature selection for audio classification. Multim. Tools Appl. 77(1): 713-739 (2018) - 2016
- [j2]Xu-Kui Yang, Liang He, Dan Qu, Wei-Qiang Zhang, Michael T. Johnson:
Semi-supervised feature selection for audio classification based on constraint compensated Laplacian score. EURASIP J. Audio Speech Music. Process. 2016: 9 (2016) - [j1]Xu-Kui Yang, Liang He, Dan Qu, Wei-Qiang Zhang:
Voice activity detection algorithm based on long-term pitch information. EURASIP J. Audio Speech Music. Process. 2016: 14 (2016) - [c3]Hao Zhang, Xu-Kui Yang, Wei-Qiang Zhang, Wen-Lin Zhang, Jia Liu:
Application of i-vector in speech and music classification. ISSPIT 2016: 1-5 - [c2]Xu-Kui Yang, Dan Qu, Wen-Lin Zhang, Wei-Qiang Zhang:
The NDSC transcription system for the 2016 multi-genre broadcast challenge. SLT 2016: 273-278 - 2015
- [c1]Zhuo Zhang, Wei-Qiang Zhang, Kai-Xiang Shen, Xu-Kui Yang, Yao Tian, Meng Cai, Jia Liu:
THUEE language modeling method for the OpenKWS 2015 evaluation. ISSPIT 2015: 534-538
Coauthor Index
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last updated on 2024-11-19 21:48 CET by the dblp team
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