silversparro/wav2letter.pytorch
A fully convolution-network for speech-to-text, built on pytorch.
Recurrent Neural Network and Long Short Term Memory (LSTM) with Connectionist Temporal Classification implemented in Theano. Includes a Toy training example.
$ git clone https://github.com/rakeshvar/rnn_ctc.gitA fully convolution-network for speech-to-text, built on pytorch.
pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.
▲ +2 ★ this week
Connectionist Temporal Classification (CTC) decoding algorithms: best path, beam search, lexicon search, prefix search, and token passing. Implemented in Python.
A Keras CTC implementation of Baidu's DeepSpeech for model experimentation
This is the end-to-end Speech Recognition neural network, deployed in Keras. This was my final project for Artificial Intelligence Nanodegree @Udacity.
Application of Connectionist Temporal Classification (CTC) for Speech Recognition (Tensorflow 1.0 but compatible with 2.0).
Data from GitHub · snapshot Nov 13, 2026