基于深度学习的中文语音识别系统
包含声学模型和语言模型两个部分组成，两个模型都是基于神经网络。
该项目实现了GRU-CTC中文语音识别声音模型，所有代码都在gru_ctc_am.py中，包括：
增加了基于科大讯飞DFCNN的CNN-CTC结构的中文语音识别模型cnn_ctc_am.py，与GRU相比，对网络结构进行了稍加改造。
完全使用DFCNN框架搭建声学模型，稍加改动，将部分卷积层改为inception，使用时频图作为输入，cnn_with_fbank.py。
新增使用pluse版数据集的模型，cnn_with_full.py，建议直接训练这个模型。
语言模型 - language_model文件夹下
新增基于CBHG结构的语言模型language_model\CBHG_lm.py，该模型之前用于谷歌声音合成，移植到该项目中作为基于神经网络的语言模型。
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