论文笔记：LSTM, GRU, Highway and a Bit of Attention: An Empirical Overview for Language Modeling in Speec
感想 本文主要比较了LSTM,GRU,Highway,attention模型在语音识别上的语言模型的优劣，总体而言LSTM还是占优势的，attention虽然新颖，但是实验结果不是很好，但是在以后的研究中还是值得借鉴的，本文公式比较复杂，需要有一定RNN基础才能理解。 1、 介绍 语言模型是自动语音识别中的一个关键组件，这其中包括出现的端到端的系统，结合两种互补的方法，基于统计的n-fram和基于
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相关文章
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