  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.
