A light weight neural speaker embeddings extraction based on Kaldi and PyTorch.

Voxceleb1 i-vector based speaker recognition system

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

Goodness of Pronunciation Pipelines for OOV Removal

rewrite the scripts in kaldi tookit in order to compute mfcc from wav files and align to phone with text files in a simpler way, also write a phonemap script to transform phones like 'a_E', 'uo_B' into pure phones i.e. 'a', 'uo'

Forced alignment with kaldi