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Speech Enhancement from Fused Features Based on Deep Neural Network and Gated Recurrent Unit Network

机译：基于深神经网络和门控复发单元网络的融合特征的语音增强

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Youming Wang; Jiali Han; Tianqi Zhang; Didi Qing;
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年度 2021
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1. Speech dereverberation for enhancement and recognition using dynamic features constrained deep neural networks and feature adaptation [J] . Xiong Xiao, Shengkui Zhao, Duc Hoang Ha Nguyen, EURASIP journal on advances in signal processing . 2016,第1期

机译：使用动态特征增强和识别的语音去混响约束深度神经网络和特征自适应
2. Emotion recognition from speech using deep recurrent neural networks with acoustic features [J] . Byun Sung-Woo, Shin Bo-Ra, Lee Seok-Pil, Basic & clinical pharmacology & toxicology. . 2019,第S7期

机译：使用深度经常性神经网络具有声学特征的情感认识
3. Airborne particle pollution predictive model using Gated Recurrent Unit (GRU) deep neural networks [J] . Becerra-Rico Josue, Aceves-Fernandez Marco A., Esquivel-Escalante Karen, Earth Science Informatics . 2020,第3期

机译：使用门控复发单位（GRU）深神经网络的空气粒子污染预测模型
4. Speech Enhancement with Partial Signal Reconstruction Based on Deep Recurrent Neural Networks and Pitch-Specific Codebooks [C] . Mohammed Krini, Tobias Stegmann International Conference on Signal Processing . 2020

机译：基于深度经常性神经网络和音高特定码本的部分信号重建语音增强
5. Deep Neural Language Model for Text Classification Based on Convolutional and Recurrent Neural Networks [D] . Hassan, Abdalraouf. 2018

机译：基于卷积神经网络和递归神经网络的深度神经语言文本分类模型
6. Speech enhancement based on neural networks improves speech intelligibility in noise for cochlear implant users [O] . Tobias Goehring, Federico Bolner, Jessica J.M. Monaghan, -1

机译：基于神经网络的语音增强功能可提高人工耳蜗用户的语音清晰度
7. Speech Enhancement for a Noise-Robust Text-to-Speech Synthesis System using Deep Recurrent Neural Networks [O] . Valentini Botinhao, Cassia, Wang, Xin, Takaki, Shinji, 2016

机译：使用深度递归神经网络的噪声鲁棒文本到语音合成系统的语音增强

Speech Enhancement from Fused Features Based on Deep Neural Network and Gated Recurrent Unit Network

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