ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2106.04764
  4. Cited By
Semi-Supervised Training with Pseudo-Labeling for End-to-End Neural
  Diarization

Semi-Supervised Training with Pseudo-Labeling for End-to-End Neural Diarization

Interspeech (Interspeech), 2021
9 June 2021
Yuki Takashima
Yusuke Fujita
Shota Horiguchi
Shinji Watanabe
Paola García
Kenji Nagamatsu
ArXiv (abs)PDFHTML

Papers citing "Semi-Supervised Training with Pseudo-Labeling for End-to-End Neural Diarization"

2 / 2 papers shown
Online Neural Diarization of Unlimited Numbers of Speakers Using Global
  and Local Attractors
Online Neural Diarization of Unlimited Numbers of Speakers Using Global and Local AttractorsIEEE/ACM Transactions on Audio Speech and Language Processing (TASLP), 2022
Shota Horiguchi
Shinji Watanabe
Leibny Paola García-Perera
Yuki Takashima
Yohei Kawaguchi
314
30
0
06 Jun 2022
Improving the Naturalness of Simulated Conversations for End-to-End
  Neural Diarization
Improving the Naturalness of Simulated Conversations for End-to-End Neural DiarizationThe Speaker and Language Recognition Workshop (Odyssey), 2022
Natsuo Yamashita
Shota Horiguchi
Takeshi Homma
330
23
0
24 Apr 2022
1
Page 1 of 1