Tensorflow-based CNN+LSTM trained with CTC-loss for OCR
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Updated
Apr 11, 2019 - Python
Tensorflow-based CNN+LSTM trained with CTC-loss for OCR
LSTM model for sequence labelling. Includes option to expand input length by constant. Currently implements cross-entropy, crf, and ctc losses.
QbE Keyword Spotting System based on ASR
ROBOKIDS is a smart educational robot for kids, that connected with educational app that uses technology to make learning fun for kids. Its features like AI and deep learning, has levels for basic concepts, and has parental controls for safety and progress monitoring.
CRNN + CTC
Automatic detection of intake gestures with CTC from inertial or video data
Custom tensorflow op for ctc beam search that keeps track of best alignment for each beam
This repository contains code to build an optical character recognition (OCR) model for recognizing text in captcha images using a Convolutional Recurrent Neural Network (CRNN) architecture with Connectionist Temporal Classification (CTC) loss.
Recognize Magic: The Gathering (MTG) cards in images by detecting and recognizing their names.
Implementation of Conformer CTC ASR model
A small model for recognition of digits in audio clips
End to End Automatic Speech Recognition on Librispeech: Pytorch implementation
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