mravanelli/joint_training_ASR

Stars
3
Rank 3,891,055 (Top 78 %)
Language
Created about 7 years ago
Updated about 7 years ago

mravanelli/joint_training_ASR

mravanelli

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Joint Training for (Distant) Speech Recognition

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.

SincNet

SincNet is a neural architecture for efficiently processing raw audio samples.

pySpeechRev

This python code performs an efficient speech reverberation starting from a dataset of close-talking speech signals and a collection of acoustic impulse responses.

pytorch_MLP_for_ASR

This code implements a basic MLP for speech recognition. The MLP is trained with pytorch, while feature extraction, alignments, and decoding are performed with Kaldi. The current implementation supports dropout and batch normalization. An example for phoneme recognition using the standard TIMIT dataset is provided.

theano-kaldi-rnn

THEANO-KALDI-RNNs is a project implementing various Recurrent Neural Networks (RNNs) for RNN-HMM speech recognition. The Theano Code is coupled with the Kaldi decoder.