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Improving Transformer-based End-to-End Speaker Diarization by Assigning Auxiliary Losses to Attention Heads.

Ye-Rin JeoungJoon-Young YangJeong-Hwan ChoiJoon-Hyuk Chang
Published in: CoRR (2023)
Keyphrases
  • end to end
  • speaker diarization
  • congestion control
  • admission control
  • speech recognition
  • scalable video
  • broadcast news
  • error rate
  • application layer
  • speaker identification