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02/23/2022
Improving fairness in speaker verification via Group-adapted Fusion Network
Modern speaker verification models use deep neural networks to encode ut...
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02/22/2022
Contrastive-mixup learning for improved speaker verification
This paper proposes a novel formulation of prototypical loss with mixup ...
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02/02/2022
ASR-Aware End-to-end Neural Diarization
We present a Conformer-based end-to-end neural diarization (EEND) model ...
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09/06/2021
Improving Speaker Identification for Shared Devices by Adapting Embeddings to Speaker Subsets
Speaker identification typically involves three stages. First, a front-e...
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06/14/2021
End-to-end Neural Diarization: From Transformer to Conformer
We propose a new end-to-end neural diarization (EEND) system that is bas...
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11/05/2020