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Titlebook: Automatic Speech Recognition; A Deep Learning Appr Dong Yu,Li Deng Book 2015 Springer-Verlag London 2015 Adaptive Training.Automatic Speech

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發(fā)表于 2025-3-21 16:11:41 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Automatic Speech Recognition
期刊簡稱A Deep Learning Appr
影響因子2023Dong Yu,Li Deng
視頻videohttp://file.papertrans.cn/167/166448/166448.mp4
發(fā)行地址Presents important theoretical foundation and practical considerations of using a wide range of deep learning models and methods for automatic speech recognition.Reviews past and present work (up to t
學(xué)科分類Signals and Communication Technology
圖書封面Titlebook: Automatic Speech Recognition; A Deep Learning Appr Dong Yu,Li Deng Book 2015 Springer-Verlag London 2015 Adaptive Training.Automatic Speech
影響因子.This book provides a comprehensive overview of the recent advancement in the field of automatic speech recognition with a focus on deep learning models including deep neural networks and many of their variants. This is the first automatic speech recognition book dedicated to the deep learning approach. In addition to the rigorous mathematical treatment of the subject, the book also presents insights and theoretical foundation of a series of highly successful deep learning models..
Pindex Book 2015
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書目名稱Automatic Speech Recognition影響因子(影響力)




書目名稱Automatic Speech Recognition影響因子(影響力)學(xué)科排名




書目名稱Automatic Speech Recognition網(wǎng)絡(luò)公開度




書目名稱Automatic Speech Recognition網(wǎng)絡(luò)公開度學(xué)科排名




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Psychology from an Islamic Perspectivehe RNN, which exploits the structure called long-short-term memory (LSTM), and analyzes its strengths over the basic RNN both in terms of model construction and of practical applications including some latest speech recognition results. Finally, we analyze the RNN as a bottom-up, discriminative, dyn
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M. Pena,E.S. Ibragimova,M.K. Thompsoneech recognition systems, and are the focus of the rest of the book. We depict the architecture of DNNs, describe the popular activation functions and training criteria, illustrate the famous backpropagation algorithm for learning DNN model parameters, and introduce practical tricks that make the tr
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