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Zhenlin Liang
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2020 – today
- 2024
- [i4]Junhao Xu, Zhenlin Liang, Yi Liu, Yichao Hu, Jian Li, Yajun Zheng, Meng Cai, Hua Wang:
MooER: LLM-based Speech Recognition and Translation Models from Moore Threads. CoRR abs/2408.05101 (2024) - 2023
- [j7]Yue Xie, Ruiyu Liang, Zhenlin Liang, Xiaoyan Zhao, Wenhao Zeng:
Speech Emotion Recognition Using Multihead Attention in Both Time and Feature Dimensions. IEICE Trans. Inf. Syst. 106(5): 1098-1101 (2023) - [c4]Zhiyun Fan, Linhao Dong, Chen Shen, Zhenlin Liang, Jun Zhang, Lu Lu, Zejun Ma:
Language-specific Boundary Learning for Improving Mandarin-English Code-switching Speech Recognition. INTERSPEECH 2023: 3322-3326 - [i3]Zhiyun Fan, Linhao Dong, Chen Shen, Zhenlin Liang, Jun Zhang, Lu Lu, Zejun Ma:
Language-specific Acoustic Boundary Learning for Mandarin-English Code-switching Speech Recognition. CoRR abs/2306.05279 (2023) - 2022
- [j6]Yue Xie, Ruiyu Liang, Xiaoyan Zhao, Zhenlin Liang, Jing Du:
Weighted Gradient Pretrain for Low-Resource Speech Emotion Recognition. IEICE Trans. Inf. Syst. 105-D(7): 1352-1355 (2022) - [c3]Minglun Han
, Linhao Dong, Zhenlin Liang, Meng Cai, Shiyu Zhou, Zejun Ma, Bo Xu:
Improving End-to-End Contextual Speech Recognition with Fine-Grained Contextual Knowledge Selection. ICASSP 2022: 8532-8536 - [c2]Zhiyun Fan, Zhenlin Liang, Linhao Dong, Yi Liu, Shiyu Zhou, Meng Cai, Jun Zhang, Zejun Ma, Bo Xu:
Token-level Speaker Change Detection Using Speaker Difference and Speech Content via Continuous Integrate-and-fire. INTERSPEECH 2022: 3749-3753 - [i2]Minglun Han, Linhao Dong, Zhenlin Liang, Meng Cai, Shiyu Zhou, Zejun Ma, Bo Xu:
Improving End-to-End Contextual Speech Recognition with Fine-grained Contextual Knowledge Selection. CoRR abs/2201.12806 (2022) - [i1]Zhiyun Fan, Zhenlin Liang, Linhao Dong, Yi Liu, Shiyu Zhou, Meng Cai, Jun Zhang, Zejun Ma, Bo Xu:
Token-level Speaker Change Detection Using Speaker Difference and Speech Content via Continuous Integrate-and-fire. CoRR abs/2211.09381 (2022) - 2021
- [j5]Yan Zhao
, Zhenlin Liang, Jing Du, Li Zhang, Chengyu Liu, Li Zhao:
Multi-Head Attention-Based Long Short-Term Memory for Depression Detection From Speech. Frontiers Neurorobotics 15: 684037 (2021) - [j4]Jiaming Cheng
, Ruiyu Liang
, Zhenlin Liang
, Li Zhao, Chengwei Huang
, Björn W. Schuller
:
A Deep Adaptation Network for Speech Enhancement: Combining a Relativistic Discriminator With Multi-Kernel Maximum Mean Discrepancy. IEEE ACM Trans. Audio Speech Lang. Process. 29: 41-53 (2021) - [c1]Zhenlin Liang, Xiang Li:
Exchange Rate Forecasting Using Machine learning: Explore Gains From External Information. ICACS 2021: 20-27 - 2020
- [j3]Ruiyu Liang
, Zhenlin Liang
, Jiaming Cheng
, Yue Xie
, Qingyun Wang
:
Transfer Learning Algorithm for Enhancing the Unlabeled Speech. IEEE Access 8: 13833-13844 (2020)
2010 – 2019
- 2019
- [j2]Yue Xie, Ruiyu Liang, Zhenlin Liang, Li Zhao:
Attention-Based Dense LSTM for Speech Emotion Recognition. IEICE Trans. Inf. Syst. 102-D(7): 1426-1429 (2019) - [j1]Yue Xie
, Ruiyu Liang
, Zhenlin Liang, Chengwei Huang
, Cairong Zou, Björn W. Schuller
:
Speech Emotion Classification Using Attention-Based LSTM. IEEE ACM Trans. Audio Speech Lang. Process. 27(11): 1675-1685 (2019)
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