Neural net code for lexicon-free speech recognition with connectionist temporal classification
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Updated
Feb 23, 2016 - Python
Neural net code for lexicon-free speech recognition with connectionist temporal classification
Recurrent Neural Network and Long Short Term Memory (LSTM) with Connectionist Temporal Classification implemented in Theano. Includes a Toy training example.
This repo contains code written by MXNet for ocr tasks, which uses an cnn-lstm-ctc architecture to do text recognition.
Automatic speech recognition system using end-to-end approach for Russian speech
Nanopore base caller based on original Chiron adding Dropout and SRU
Applications of Connectionist Temporal Classification (CTC) in TensorFlow
apply mfcc feature of waveform with the LSTM + CTC loss architecture
TensorFlow implementation of Google i18n Transliteration Model
Optical character recognition Using Deep Learning
my learnings on implementing deep ASR models
Automatic Speech Recognition
Speech Recognition model based off of FAIR research paper built using Pytorch.
A TensorFlow implementation of hybird CNN-LSTM model with CTC loss for OCR problem
RNN CTC by using TensorFlow.
The official repository of the Eesen project
ISL Speech Recognition Toolkit for training neural networks with the CTC loss function.
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