Tensorflow implementation of speaker recognition with x-vector topology
Speaker recognition, speaker embedding, DNN, x-vectors, retraining
This is a Tensorflow implementation of x-vector topology (speaker embedding). It uses Kaldi toolkit for data processing. We train the model using Tensorflow and also extract speaker embeddings (x-vectors) using it. This allow to train or retrain the system to the particular customer specific domain or provides the ability to modify the topology or training schema to achieve better performance for the specific domain.
This software is a result of Czech Ministry of Interior project "Dolování infoRmAcí z řeči Pořízené vzdÁlenými miKrofony - DRAPÁK", No. VI20152020025