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The Newsbridge -Telecom SudParis VoxCeleb Speaker Recognition Challenge 2022 System Description

2023-01-17 15:52:39
Yannis Tevissen (ARMEDIA-SAMOVAR), Jérôme Boudy (ARMEDIA-SAMOVAR), Frédéric Petitpont
arXiv_CL
           
Abstract

We describe the system used by our team for the VoxCeleb Speaker Recognition Challenge 2022 (VoxSRC 2022) in the speaker diarization track. Our solution was designed around a new combination of voice activity detection algorithms that uses the strengths of several systems. We introduce a novel multi stream approach with a decision protocol based on classifiers entropy. We called this method a multi-stream voice activity detection and used it with standard baseline diarization embeddings, clustering and resegmentation. With this work, we successfully demonstrated that using a strong baseline and working only on voice activity detection, one can achieved close to state-of-theart results.

Abstract (translated)

URL

https://arxiv.org/abs/2301.07491

PDF

https://arxiv.org/pdf/2301.07491.pdf

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