- Python adaptation of VGGVox speaker identification model, based on Nagrani et al 2017, "VoxCeleb: a large-scale speaker identification dataset"
- Evaluation code only, based on the author's Matlab code and pretrained model.
- Install python3 and the required packages
- Modify
cfg/enroll_list.csv
andcfg/test_list.csv
to point to your local enroll/test wav files - To run evaluation:
python3 scoring.py
- Results will be stored in
res/results.csv
. Each line has format:[path to test wav], [correct speaker], [distance to enroll speaker 1],...[distance to enroll speaker N], [predicted speaker], [correct?]