Zhenlin Liang

According to our database, Zhenlin Liang authored at least 13 papers between 2019 and 2024.

Collaborative distances:

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

2024

MooER: LLM-based Speech Recognition and Translation Models from Moore Threads.

Junhao Xu, Zhenlin Liang, Yi Liu, Yichao Hu, Jian Li, Yajun Zheng, Meng Cai, Hua Wang

CoRR, 2024

2023

Speech Emotion Recognition Using Multihead Attention in Both Time and Feature Dimensions.

Yue Xie, Ruiyu Liang, Zhenlin Liang, Xiaoyan Zhao, Wenhao Zeng

IEICE Trans. Inf. Syst., May, 2023

Language-specific Acoustic Boundary Learning for Mandarin-English Code-switching Speech Recognition.

Zhiyun Fan, Linhao Dong, Chen Shen, Zhenlin Liang, Jun Zhang, Lu Lu, Zejun Ma

CoRR, 2023

Language-specific Boundary Learning for Improving Mandarin-English Code-switching Speech Recognition.

Zhiyun Fan, Linhao Dong, Chen Shen, Zhenlin Liang, Jun Zhang, Lu Lu, Zejun Ma

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

2022

Weighted Gradient Pretrain for Low-Resource Speech Emotion Recognition.

Yue Xie, Ruiyu Liang, Xiaoyan Zhao, Zhenlin Liang, Jing Du

IEICE Trans. Inf. Syst., 2022

Token-level Speaker Change Detection Using Speaker Difference and Speech Content via Continuous Integrate-and-fire.

Zhiyun Fan, Zhenlin Liang, Linhao Dong, Yi Liu, Shiyu Zhou, Meng Cai, Jun Zhang, Zejun Ma, Bo Xu

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Improving End-to-End Contextual Speech Recognition with Fine-Grained Contextual Knowledge Selection.

Minglun Han, Linhao Dong, Zhenlin Liang, Meng Cai, Shiyu Zhou, Zejun Ma, Bo Xu

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

A Deep Adaptation Network for Speech Enhancement: Combining a Relativistic Discriminator With Multi-Kernel Maximum Mean Discrepancy.

Jiaming Cheng, Ruiyu Liang, Zhenlin Liang, Li Zhao, Chengwei Huang, Björn W. Schuller

IEEE ACM Trans. Audio Speech Lang. Process., 2021

Multi-Head Attention-Based Long Short-Term Memory for Depression Detection From Speech.

Yan Zhao, Zhenlin Liang, Jing Du, Li Zhang, Chengyu Liu, Li Zhao

Frontiers Neurorobotics, 2021

Exchange Rate Forecasting Using Machine learning: Explore Gains From External Information.

Zhenlin Liang, Xiang Li

Proceedings of the ICACS '21: 2021 The 5th International Conference on Algorithms, Computing and Systems, Xi'an, China, September 24, 2021

2020

Transfer Learning Algorithm for Enhancing the Unlabeled Speech.

Ruiyu Liang, Zhenlin Liang, Jiaming Cheng, Yue Xie, Qingyun Wang

IEEE Access, 2020

2019

Speech Emotion Classification Using Attention-Based LSTM.

Yue Xie, Ruiyu Liang, Zhenlin Liang, Chengwei Huang, Cairong Zou, Björn W. Schuller

IEEE ACM Trans. Audio Speech Lang. Process., 2019

Attention-Based Dense LSTM for Speech Emotion Recognition.

Yue Xie, Ruiyu Liang, Zhenlin Liang, Li Zhao

IEICE Trans. Inf. Syst., 2019