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Graph models for household speaker recognition

This is a course project for SNA by Igor Fedorov and Evgeny Shabalin.

The speaker embedder is adopted from CLOVA and we use VoxCeleb-1 for household simulation.

Our graph-based algorithm is an adaptation of Links for given scenario. Precisely, we discard the node-splitting part and operate only with enrichment & merging.

Our algorithm outperforms simple enroll enrichment in terms of average EER:

(0.272 - 0.196 - 0.175 for n=2, 0.415 - 0.387 - 0.299 for n=4, 0.565 - 0.455 - 0.401 for n=6 after 1000 simulations)

Implementation is mainly written in embs.ipynb

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HSE SNA course project.

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