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Improved End-to-End Speech Recognition Using Adaptive Per-Dimensional Learning Rate Methods

机译：使用自适应每维学习速率方法改进端到端语音识别

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Xuyang WANG; Pengyuan ZHANG; Qingwei ZHAO; Jielin PAN; Yonghong YAN;
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1. Improved End-to-End Speech Recognition Using Adaptive Per-Dimensional Learning Rate Methods [J] . Xuyang WANG, Pengyuan ZHANG, Qingwei ZHAO, IEICE transactions on information and systems . 2016,第10期

机译：使用自适应多维学习率方法的改进的端到端语音识别
2. Representation transfer learning from deep end-to-end speech recognition networks for the classification of health states from speech [J] . Benjamin Sertolli, Zhao Ren, Bjoern W. Schuller, Computer speech and language . 2021,第Jula期

机译：从言语中，从深端到端语音识别网络中的代表转移学习
3. An End-to-End Deep Learning Approach to Simultaneous Speech Dereverberation and Acoustic Modeling for Robust Speech Recognition [J] . Bo Wu, Kehuang Li, Fengpei Ge, Selected Topics in Signal Processing, IEEE Journal of . 2017,第8期

机译：端到端深度学习方法可同时进行语音去混响和声学建模，以实现可靠的语音识别
4. Improving Unsupervised Style Transfer in end-to-end Speech Synthesis with end-to-end Speech Recognition [C] . Da-Rong Liu, Chi-Yu Yang, Szu-Lin Wu, 2018 IEEE Spoken Language Technology Workshop . 2018

机译：通过端到端语音识别改善端到端语音合成中的无监督样式转换
5. Strategies for improving audible quality and speech recognition accuracy of reverberant speech. [D] . Gillespie, Bradford Wilson. 2002

机译：改善混响语音的听觉质量和语音识别准确性的策略。
6. Speech Perception for Adult Cochlear Implant Recipients in a Realistic Background Noise: Effectiveness of Preprocessing Strategies and External Options for Improving Speech Recognition in Noise [O] . René H. Gifford, Lawrence J. Revit -1

机译：成人耳蜗植入者在现实背景噪声中的言语感知：预处理策略和外部选择改善噪声语音识别的有效性
7. Improved End-to-End Dysarthric Speech Recognition via Meta-learning Based Model Re-initialization [O] . Disong Wang, Jianwei Yu, Xixin Wu, 2021

机译：通过基于元学习的模型重新初始化改进了端到端的发育性语音识别

Improved End-to-End Speech Recognition Using Adaptive Per-Dimensional Learning Rate Methods

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