The PCG-AIID System for L3DAS22 Challenge: MIMO and MISO Convolutional Recurrent Network for Multi Channel Speech Enhancement and Speech Recognition-Reference-Cited by-同舟云学术

The PCG-AIID System for L3DAS22 Challenge: MIMO and MISO Convolutional Recurrent Network for Multi Channel Speech Enhancement and Speech Recognition

Published:2022-05-23 Issue: Volume: Page:
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Container-title:ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Author:

Li Jingdong¹,Zhu Yuanyuan¹,Luo Dawei¹,Liu Yun¹,Cui Guohui¹,Li Zhaoxia¹

Affiliation:

1. Tencent PCG,AI Interaction Division

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9745891/9746004/09746055.pdf?arnumber=9746055

Reference18 articles.

1. Multi-Microphone Complex Spectral Mapping for Speech Dereverberation

2. L3DAS22 Challenge: Learning 3D Audio Sources in a Real Office Environment

3. A neural beamforming network for b-format 3d speech enhancement and recognition;ren;2021 IEEE 31st Internat Workshop on Machine Learning for Signal Processing (MLSP),2021

4. Learning Complex Spectral Mapping With Gated Convolutional Recurrent Networks for Monaural Speech Enhancement

5. Inplace Gated Convolutional Recurrent Neural Network for Dual-Channel Speech Enhancement

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