Joint Training of Complex Ratio Mask Based Beamformer and Acoustic Model for Noise Robust Asr-Reference-Cited by-同舟云学术

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Joint Training of Complex Ratio Mask Based Beamformer and Acoustic Model for Noise Robust Asr

Published:2019-05 Issue: Volume: Page:
ISSN:
Container-title:ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Author:

Xu Yong,Weng Chao,Hui Like,Liu Jianming,Yu Meng,Su Dan,Yu Dong

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8671773/8682151/08682576.pdf?arnumber=8682576

Cited by 24 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A novel semi-blind source separation framework towards maximum signal-to-interference ratio;Signal Processing;2024-04

2. Noise robust automatic speech recognition: review and analysis;International Journal of Speech Technology;2023-06-24

3. Attention-based latent features for jointly trained end-to-end automatic speech recognition with modified speech enhancement;Journal of King Saud University - Computer and Information Sciences;2023-03

4. Audio-Visual End-to-End Multi-Channel Speech Separation, Dereverberation and Recognition;IEEE/ACM Transactions on Audio, Speech, and Language Processing;2023

5. Multichannel Speech Enhancement based on Neural Beamforming and a Context-Focused Post-Filtering Network;IEEE Transactions on Cognitive and Developmental Systems;2023

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