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
⚡ TensorFlowASR: Almost State-of-the-art Automatic Speech Recognition in Tensorflow 2. Supported languages that can use characters or subwords
PyTorch CTC Decoder bindings
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.
End-to-end ASR/LM implementation with PyTorch
Speech-to-text server framework with next-gen Kaldi
Connectionist Temporal Classification (CTC) decoder with dictionary and language model.
Tensorflow-based CNN+LSTM trained with CTC-loss for OCR
一个执着于让CPU\端侧-Model逼近GPU-Model性能的项目，CPU上的实时率(RTF)小于0.1
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
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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