Recurrent Neural Network and Long Short Term Memory (LSTM) with Connectionist Temporal Classification implemented in Theano. Includes a Toy training example.
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Updated
Jul 26, 2016 - Python
Recurrent Neural Network and Long Short Term Memory (LSTM) with Connectionist Temporal Classification implemented in Theano. Includes a Toy training example.
using rnn (lstm or gru) and ctc to convert line image into text, based on torch7 and warp-ctc
Handwritten recognition model for Esposalles datasets, based on LSTM and CTC.
Applications of Connectionist Temporal Classification (CTC) in TensorFlow
A Simple Automatic Speech Recognition (ASR) Model in Tensorflow, which only needs to focus on Deep Neural Network. It's easy to test popular cells (most are LSTM and its variants) and models (unidirectioanl RNN, bidirectional RNN, ResNet and so on). Moreover, you are welcome to play with self-defined cells or models.
End-to-End speech recognition implementation base on TensorFlow (CTC, Attention, and MTL training)
Python implementation of pre-processing for End-to-End speech recognition
continuously mnist with rnn ctc
A Keras CTC implementation of Baidu's DeepSpeech for model experimentation
CNN+LSTM+CTC based OCR implemented using tensorflow.
my learnings on implementing deep ASR models
RNN benchmarks of pytorch, tensorflow and theano
Use ctc to do chinese speech recognition by keras / 通过keras和ctc实现中文语音识别
English Handwriting Recognition with CRNN and CTC Loss
End to End Speech Recognition with Tensorflow
ASR with PyTorch
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