ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2206.13110
  4. Cited By
Sequence-level Speaker Change Detection with Difference-based Continuous
  Integrate-and-fire

Sequence-level Speaker Change Detection with Difference-based Continuous Integrate-and-fire

27 June 2022
Zhiyun Fan
Linhao Dong
Meng Cai
Zejun Ma
Bo Xu
ArXivPDFHTML

Papers citing "Sequence-level Speaker Change Detection with Difference-based Continuous Integrate-and-fire"

5 / 5 papers shown
Title
SCDNet: Self-supervised Learning Feature-based Speaker Change Detection
SCDNet: Self-supervised Learning Feature-based Speaker Change Detection
Yue Li
Xinsheng Wang
Li Zhang
Lei Xie
45
1
0
12 Jun 2024
SpeechCLIP+: Self-supervised multi-task representation learning for
  speech via CLIP and speech-image data
SpeechCLIP+: Self-supervised multi-task representation learning for speech via CLIP and speech-image data
Hsuan-Fu Wang
Yi-Jen Shih
Heng-Jui Chang
Layne Berry
Puyuan Peng
Hung-yi Lee
Hsin-Min Wang
David Harwath
VLM
51
2
0
10 Feb 2024
Multitask Detection of Speaker Changes, Overlapping Speech and Voice
  Activity Using wav2vec 2.0
Multitask Detection of Speaker Changes, Overlapping Speech and Voice Activity Using wav2vec 2.0
Marie Kunesova
Zbynek Zajíc
SSL
VLM
18
15
0
26 Oct 2022
pyannote.audio: neural building blocks for speaker diarization
pyannote.audio: neural building blocks for speaker diarization
H. Bredin
Ruiqing Yin
Juan Manuel Coria
G. Gelly
Pavel Korshunov
Marvin Lavechin
D. Fustes
Hadrien Titeux
Wassim Bouaziz
Marie-Philippe Gill
191
312
0
04 Nov 2019
End-to-End Neural Speaker Diarization with Permutation-Free Objectives
End-to-End Neural Speaker Diarization with Permutation-Free Objectives
Yusuke Fujita
Naoyuki Kanda
Shota Horiguchi
Kenji Nagamatsu
Shinji Watanabe
163
244
0
12 Sep 2019
1