工程科学学报 Chinese Journal of Engineering 基于DL-T及迁移学习的语音识别研究 张成刘晨贵鸿博李巍俞经虎曹毅 Research on automatic speech recognition based on a DL-T and transfer learning ZHANG Wei,LIU Chen,FEI Hong-bo,LI Wei.YU Jing-hu.CAO Yi 引用本文： 张威，刘晨，费鸿博.李巍，俞经虎.曹毅.基于DL-T及迁移学习的语音识别研究.工程科学学报，2021,433：433-441.doi: 10.13374j.issn2095-9389.2020.01.12.001 ZHANG Wei,LIU Chen,FEI Hong-bo,LI Wei,YU Jing-hu,CAO Yi.Research on automatic speech recognition based on a DLT and transfer learning[J].Chinese Journal of Engineering,2021,43(3):433-441.doi:10.13374/j.issn2095-9389.2020.01.12.001 在线阅读View online::https://doi..org10.13374/.issn2095-9389.2020.01.12.001 您可能感兴趣的其他文章 Articles you may be interested in 基于深度学习的高效火车号识别 Efficient wagon number recognition based on deep learning 工程科学学报.2020.42(11)：1525htps:1doi.org10.13374.issn2095-9389.2019.12.05.001 基于深度学习的人体低氧状态识别 Recognition of human hypoxic state based on deep learning 工程科学学报.2019,41(6：817 https:oi.org10.13374j.issn2095-93892019.06.014 多模态学习方法综述 A survey of multimodal machine learning 工程科学学报.2020,42(5)：557htps:/1doi.org10.13374.issn2095-9389.2019.03.21.003 深度神经网络模型压缩综述 A survey of model compression for deep neural networks 工程科学学报.2019,41(10：1229 https:/oi.org/10.13374.issn2095-9389.2019.03.27.002 文本生成领域的深度强化学习研究进展 Research progress of deep reinforcement learning applied to text generation 工程科学学报.2020,42(4：399 https::/1doi.org/10.13374.issn2095-9389.2019.06.16.030 复杂环境下一种基于Siam Mask的时空预测移动目标跟踪算法 Design and implementation of multi-feature fusion moving target detection algorithms in a complex environment based on SiamMask 工程科学学报.2020.42(3：381htps:/doi.org10.13374issn2095-9389.2019.06.06.005基于DL-T及迁移学习的语音识别研究 张威 刘晨 费鸿博 李巍 俞经虎 曹毅 Research on automatic speech recognition based on a DL–T and transfer learning ZHANG Wei, LIU Chen, FEI Hong-bo, LI Wei, YU Jing-hu, CAO Yi 引用本文: 张威, 刘晨, 费鸿博, 李巍, 俞经虎, 曹毅. 基于DL-T及迁移学习的语音识别研究[J]. 工程科学学报, 2021, 43(3): 433-441. doi: 10.13374/j.issn2095-9389.2020.01.12.001 ZHANG Wei, LIU Chen, FEI Hong-bo, LI Wei, YU Jing-hu, CAO Yi. Research on automatic speech recognition based on a DLT and transfer learning[J]. Chinese Journal of Engineering, 2021, 43(3): 433-441. doi: 10.13374/j.issn2095-9389.2020.01.12.001 在线阅读 View online: https://doi.org/10.13374/j.issn2095-9389.2020.01.12.001 您可能感兴趣的其他文章 Articles you may be interested in 基于深度学习的高效火车号识别 Efficient wagon number recognition based on deep learning 工程科学学报. 2020, 42(11): 1525 https://doi.org/10.13374/j.issn2095-9389.2019.12.05.001 基于深度学习的人体低氧状态识别 Recognition of human hypoxic state based on deep learning 工程科学学报. 2019, 41(6): 817 https://doi.org/10.13374/j.issn2095-9389.2019.06.014 多模态学习方法综述 A survey of multimodal machine learning 工程科学学报. 2020, 42(5): 557 https://doi.org/10.13374/j.issn2095-9389.2019.03.21.003 深度神经网络模型压缩综述 A survey of model compression for deep neural networks 工程科学学报. 2019, 41(10): 1229 https://doi.org/10.13374/j.issn2095-9389.2019.03.27.002 文本生成领域的深度强化学习研究进展 Research progress of deep reinforcement learning applied to text generation 工程科学学报. 2020, 42(4): 399 https://doi.org/10.13374/j.issn2095-9389.2019.06.16.030 复杂环境下一种基于SiamMask的时空预测移动目标跟踪算法 Design and implementation of multi-feature fusion moving target detection algorithms in a complex environment based on SiamMask 工程科学学报. 2020, 42(3): 381 https://doi.org/10.13374/j.issn2095-9389.2019.06.06.005