语音识别-基于Tensorflow+Sequence-to-Sequence算法实现语音识别算法-附项目源码-优质项目实战

# Tensorflow Speech Recognition Speech recognition using google's [tensorflow](https://github.com/tensorflow/tensorflow/) deep learning framework, [sequence-to-sequence](https://www.tensorflow.org/versions/master/tutorials/seq2seq/index.html) neural networks. ## Ultimate goal Create a decent standalone speech recognition for Linux etc. Some people say we have the models but not enough training data. We disagree: There is plenty of training data (100GB [here](http://www.openslr.org/12) and 21GB [here on openslr.org](http://www.openslr.org/7/) , synthetic Text to Speech snippets, Movies with transcripts, Gutenberg, YouTube with captions etc etc) we just need a simple yet powerful model. It's only a question of time...  Sample spectrogram, Karen uttering 'zero' with 160 words per minute. ## Installation ### clone code ``` # download the project git clone https://github.com/pannous/layer.git git clone https://github.com/pannous/tensorpeers.git ``` ### pyaudio #### requirements portaudio from http://www.portaudio.com/ ``` git clone https://git.assembla.com/portaudio.git ./configure --prefix=/path/to/your/local make make install export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/path/to/your/local/lib export LIDRARY_PATH=$LIBRARY_PATH:/path/to/your/local/lib export CPATH=$CPATH:/path/to/your/local/include source ~/.bashrc ``` #### install pyaudio ``` pip install pyaudio ``` ## Getting started Toy examples: `./number_classifier_tflearn.py` `./speaker_classifier_tflearn.py` Some less trivial architectures: `./densenet_layer.py` Later: `./train.sh` `./record.py`