In search of strong embedding extractors for speaker diarisation

• Published in: arXiv.org
• Main Authors: Jee-weon Jung, Hee-Soo Heo, Bong-Jin, Lee, Huh, Jaesung, Brown, Andrew, Kwon, Youngki, Watanabe, Shinji, Joon Son Chung
• Format: Paper
• Language: English
• Published: Ithaca Cornell University Library, arXiv.org 26.10.2022
• Subjects: Audio equipment; Embedding; Extractors; Performance degradation; Segments; Signatures; Speech; Verification

Speaker embedding extractors (EEs), which map input audio to a speaker discriminant latent space, are of paramount importance in speaker diarisation. However, there are several challenges when adopting EEs for diarisation, from which we tackle two key problems. First, the evaluation is not straightf...