A Deep-Learning-Based Chinese Speech Recognition System 基于深度学习的中文语音识别系统
an open-source implementation of sequence-to-sequence based speech processing engine
The official repository of the Eesen project
Connectionist Temporal Classification (CTC) decoding algorithms: best path, beam search, lexicon search, prefix search, and token passing. Implemented in Python.
PyTorch CTC Decoder bindings
End-to-end ASR/LM implementation with PyTorch
Connectionist Temporal Classification (CTC) decoder with dictionary and language model.
Tensorflow-based CNN+LSTM trained with CTC-loss for OCR
集成了Tensorflow 2版本的端到端语音识别模型，并且RTF(实时率)在0.1左右/Mandarin State-of-the-art Automatic Speech Recognition in Tensorflow 2
CNN+LSTM+CTC based OCR implemented using tensorflow.
A research project for text detection and recognition using PyTorch 1.2.
End-to-End speech recognition implementation base on TensorFlow (CTC, Attention, and MTL training)
A TensorFlow implementation of https://github.com/bgshih/crnn
A Keras CTC implementation of Baidu's DeepSpeech for model experimentation
Speech-to-text server framework with next-gen Kaldi
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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