Python Implementation of PLDA Scoring used in speaker recognition and diarization

This code is the python implementation of PLDA scoring used in Kaldi CALLHOME Diarization recipe.
It uses a pre-trained plda model from the Kaldi recipe and generates PLDA scores using X-vectors of one recording from CALLHOME dataset.
It compares the scores with cosine similarity scores.

Prerequisites

Python >= 3.6

Implementation

Run following command

python main.py