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adaspeech

AdaSpeech: Adaptive Text to Speech for Custom Voice

asr-study

Implementation of all-neural speech recognition systems using Keras and Tensorflow

associative_lstm

LSTM with associative memory cells (http://arxiv.org/abs/1602.03032)

automatic_speech_recognition

End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow

chime4_backend

cnn_lstm_ctc_tensorflow

CNN+LSTM+CTC based OCR implemented using tensorflow.

ctc_pytorch

CTC end -to-end ASR for timit and 863 corpus.

efficient_densenet_pytorch

A memory-efficient implementation of DenseNets

espnet

End-to-End Speech Processing Toolkit

face

face models

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

feature-extraction-for-speech-recognition

Python Implementation of the Feature Extraction Process in Kaldi

kaldi

This is now the official location of the Kaldi project.

kaldi-io-for-python

Python functions for reading kaldi data formats. Useful for rapid prototyping with python.

kaldi-python

Python wrappers for Kaldi data

keras

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano.

keras-kaldi

Keras Interface for Kaldi ASR

keras-switchnorm

Switch Normalization implementation for Keras 2+

keras_attention

An implementation of self-attention layer via Keras

kerasdeepspeech

A Keras CTC implementation of Baidu's DeepSpeech for model experimentation

learngit

mocha-pytorch

PyTorch Implementation of "Monotonic Chunkwise Attention" (ICLR 2018)

models

Models and examples built with TensorFlow

multi-granularity-las

programming_notebooks

A collection of programming notebooks that I've created.

pytorch-asr

ASR with PyTorch

pytorch-kaldi

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.

pytorch_hmm

HMMs in PyTorch

recurrentshop

Framework for building complex recurrent neural networks with Keras

segrnn