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PyTorch implementation using high-level framework Catalyst of the paper Utterance-level Aggregation For Speaker Recognition In The Wild

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Name		Name	Last commit message	Last commit date
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image		image
speaker_embeddings		speaker_embeddings
.gitignore		.gitignore
readme.md		readme.md
requirements.txt		requirements.txt
spectrogram.yaml		spectrogram.yaml
train.py		train.py

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README

Weights coming soon

Next step

Add this model as a uis-rnn backend

This repo contains a Pytorch implementation of the paper,
Utterance-level Aggregation For Speaker Recognition In The Wild (Xie et al., ICASSP 2019) (Oral).

**New challenge on speaker recognition: The VoxCeleb Speaker Recognition Challenge (VoxSRC).

Dependencies

Data

The dataset used for the experiments are

Voxceleb1, Voxceleb2

Accuracy metrics

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PyTorch implementation using high-level framework Catalyst of the paper Utterance-level Aggregation For Speaker Recognition In The Wild

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