Training recipe for VBx repository. For results and more info please see VBx.
This is Kaldi based recipe, using most of the tools from egs/sre16/v2
, therefore it is required to have Kaldi compiled.
From Kaldi root dir:
cd egs/sre16
git clone https://github.com/phonexiaresearch/VBx-training-recipe.git
cd VBx-training-recipe
For NN training it is also needed to compile binary which converts egs into arks - utils/nnet3-copy-egs-to-feats.cc
. Please, copy this source code into KALDI/src/nnet3bin
and compile it.
cp utils/nnet3-copy-egs-to-feats.cc ../../../src/nnet3bin/
Please see run.sh
script for basic overview, minimal modification is to set correct VoxCeleb directories for your setup here.
When set, you can run the main script:
./run.sh
For more details see run.sh
. If you are familiar with sre16/v2
recipe, it should be straightforward.
In case of using the software please cite:
F. Landini, J. Profant, M. Diez, L. Burget: Bayesian HMM clustering of x-vector sequences (VBx) in speaker diarization: theory, implementation and analysis on standard tasks
If you have questions regarding the training recipe, email [email protected] or [email protected].