Speech-to-Text-WaveNet : End-to-end sentence level Chinese speech recognition using DeepMind's WaveNet

A tensorflow implementation for Chinese speech recognition based on DeepMind's WaveNet: A Generative Model for Raw Audio. (Hereafter the Paper)

Version

Current Version : 0.0.1

Dependencies

1. python == 3.5
2. tensorflow == 1.0.0
3. librosa == 0.5.0

Dataset

清华30小时中文数据集

Directories

1. cache: save data featrue and word dictionary
2. data: wav files and related labels
3. model: save the models

Network model

1. Data random shuffle per epoch
2. Xavier initialization
3. Adam optimization algorithms
4. Batch Normalization

Train the network

python3 train.py

Test the network

python3 test.py

Other resources

1. TensorFlow练习15: 中文语音识别
2. ibab's WaveNet(speech synthesis) tensorflow implementationt
3. buriburisuri's WaveNet(English speech recognition) tensorflow and sugartensor implementationt