North America Bixby Speaker Diarization System For The Voxceleb Speaker Recognition Challenge 2021

Abstract

This paper describes the submission to the speaker diarization track of VoxCeleb Speaker Recognition Challenge 2021 done by North America Bixby Lab of Samsung Research America. Our speaker diarization system consists of four main components such as overlap speech detection and speech separation, robust speaker embedding extraction, spectral clustering with fused affinity matrix, and leakage filtering-based postprocessing. We evaluated our system on the VoxConverse dataset and the challenge evaluation set, which contain natural conversations of multiple talkers collected from YouTube. Our system obtained 4.46%, 6.39%, and 6.16% of the diarization error rate on the VoxConverse development, test, and the challenge evaluation set, respectively.

Stats

• citations0
• S2 citations—
• github stars0
• HF likes0
• heat score0.00
• arxiv keykim2021north

Related papers

• The BUCEA Speaker Diarization System For The Voxceleb Speaker Recognition Challenge 2022 (2022)0.00
• Microsoft Speaker Diarization System For The Voxceleb Speaker Recognition Challenge 2020 (2020)11.93
• The DKU-MSXF Diarization System For The Voxceleb Speaker Recognition Challenge 2023 (2023)5.24
• The HUAWEI Speaker Diarisation System For The Voxceleb Speaker Diarisation Challenge (2020)0.00
• Analysis Of The BUT Diarization System For Voxconverse Challenge (2020)8.82
• Gist-aiter Speaker Diarization System For Voxceleb Speaker Recognition Challenge (voxsrc) 2023 (2023)0.00
• The Newsbridge -telecom Sudparis Voxceleb Speaker Recognition Challenge 2022 System Description (2023)0.00
• The DKU-MSXF Speaker Verification System For The Voxceleb Speaker Recognition Challenge 2023 (2023)0.00