AER 发表于 2025-3-23 12:33:41
http://reply.papertrans.cn/17/1665/166448/166448_11.pngdefinition 发表于 2025-3-23 17:19:11
Eiji Arai,Keiichi Shirase,Hidefumi Wakamatsu and slows down both the training and decoding. In this chapter, we discuss algorithms and engineering techniques that speedup the training and decoding. Specifically, we describe the parallel training algorithms such as pipelined backpropagation algorithm, asynchronous stochastic gradient descend a黄油没有 发表于 2025-3-23 21:20:19
Financial Crisis, Trade, and Fragmentation,on problem. In this chapter, we introduce the sequence-discriminative training techniques that match better to the problem. We describe the popular maximum mutual information (MMI), boosted MMI (BMMI), minimum phone error (MPE), and minimum Bayes risk (MBR) training criteria, and discuss the practic蚊帐 发表于 2025-3-24 00:03:08
http://reply.papertrans.cn/17/1665/166448/166448_14.pngAdenoma 发表于 2025-3-24 05:15:08
http://reply.papertrans.cn/17/1665/166448/166448_15.png弄脏 发表于 2025-3-24 07:37:48
http://reply.papertrans.cn/17/1665/166448/166448_16.pngVo2-Max 发表于 2025-3-24 13:15:28
http://reply.papertrans.cn/17/1665/166448/166448_17.png弓箭 发表于 2025-3-24 17:05:16
http://reply.papertrans.cn/17/1665/166448/166448_18.pngGenerator 发表于 2025-3-24 19:01:36
Lewis R. Gordon,LaRose T. Parristional network (CN), a unified framework for describing arbitrary learning machines, such as deep neural networks (DNNs), computational neural networks (CNNs), recurrent neural networks (RNNs), long short term memory (LSTM), logistic regression, and matrixum entropy model, that can be illustrated as比目鱼 发表于 2025-3-25 00:59:04
I. Alexandrescu,H.-J. Franke,T. VietorAutomatic speech recognition (ASR) is an important technology to enable and improve the human–human and human–computer interactions. In this chapter, we introduce the main application areas of ASR systems, describe their basic architecture, and then introduce the organization of the book.