基于Python的深度学习的中文语音识别系统源码+文档说明（高分毕设）

# Somiao Pinyin: Train your own Chinese Input Method with Seq2seq Model ### [中文Blog](http://www.crownpku.com/2017/09/10/%E6%90%9C%E5%96%B5%E8%BE%93%E5%85%A5%E6%B3%95-%E7%94%A8seq2seq%E8%AE%AD%E7%BB%83%E8%87%AA%E5%B7%B1%E7%9A%84%E6%8B%BC%E9%9F%B3%E8%BE%93%E5%85%A5%E6%B3%95.html) Personalized Chinese Pinyin Input Method with Seq2seq model Original code in https://github.com/Kyubyong/neural_chinese_transliterator for research purpose. This repository intends to experiment with different training data and interactive user inputs, and possibly develop towards a real data-personalized and model-localized Pinyin Input product.  ## Requrements * Python (>=3.5) * TensorFlow (>=r1.2) * xpinyin (for Chinese pinyin annotation) * distance (for calculating the similarity score between two strings) * tqdm ## Usage ### Training: * STEP 1. Download [Leipzig Chinese Corpus](http://wortschatz.uni-leipzig.de/en/download/) Extract it and copy zho_news_2007-2009_1M-sentences.txt to data/ folder. Or use your own Chinese Corpus with the same format. * STEP 2. Build a Pinyin-Chinese parallel corpus. ``` #python3 build_corpus.py ``` * STEP 3. Run `prepro.py` to make vocabulary and training data. ``` #python3 prepro.py ``` * STEP 4. Adjust hyperparameters in `hyperparams.py` if necessary. * STEP 5. Train the model ``` #python3 train.py ``` ### Inference with command line input: For command line input testing, run: ``` python3 eval.py ``` You may change the main function name to use the original testing data evaluation. ### Testing with pre-trained models: Download the pre-trained model from [blog](http://www.crownpku.com/2017/09/10/%E6%90%9C%E5%96%B5%E8%BE%93%E5%85%A5%E6%B3%95-%E7%94%A8seq2seq%E8%AE%AD%E7%BB%83%E8%87%AA%E5%B7%B1%E7%9A%84%E6%8B%BC%E9%9F%B3%E8%BE%93%E5%85%A5%E6%B3%95.html), unzip it to generate /log and /data. Remember to overwrite the pickle files in /data with the pre-trained model data. Then run for command line input testing: ``` python3 eval.py ``` ## Sample Results Model is trained from Chinese News in 2007-2009. So many now common Chinese sayings are not learned. ``` 请输入测试拼音：nihao 你好 请输入测试拼音：chenggongle 成功了 请输入测试拼音：wolegequ 我了个曲 请输入测试拼音：taibangla 太棒啦 请输入测试拼音：dacolehuizenmeyang 打破了会怎么样 请输入测试拼音：pujinghehujintaotongdianhua 普京和胡锦涛通电话 请输入测试拼音：xiangbuqilaishinianqianfashengleshenme 想不起来十年前发生了什么 请输入测试拼音：meiguohongzhawomenzainansilafudedashiguan 美国轰炸我们在南斯拉夫的大事馆 请输入测试拼音：liudehuanageshihouhaonianqing 刘德华那个时候好年轻 请输入测试拼音：shishihouxunlianyixiabilibilideyuliaole 是时候训练一下比例比例的预料了 ``` ## TODOLIST * Pretrained models on different contexts * Model selection for using different models while input different things (chatting? writing scientific papers? etc...) * Function to record LOCALLY what user has input as personalized corpus * User Interface * ...