Tensorflow implementation of speaker recognition with x-vector topology

Tensorflow implementace rozpoznávání mluvčího s x-vector topologií

software

no - free

Zeinali Hossein, Ph.D. (DCGM FIT BUT)
Burget Lukáš, doc. Ing., Ph.D. (DCGM FIT BUT)
Rohdin Johan A., Dr. (DCGM FIT BUT)
Stafylakis Themos (OMILIA)
Černocký Jan, prof. Dr. Ing. (DCGM FIT BUT)

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

https://github.com/BUTSpeechFIT/x-vector-kaldi-tf

Information mining in speech acquired by distant microphones (VI20152020025)

Speech Data Mining Research Group BUT Speech@FIT (VZ SPEECH)

Department of Computer Graphics and Multimedia FIT BUT (DCGM FIT BUT)
Omilia (OMILIA)