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. 2202.05744
  4. Cited By
The xmuspeech system for multi-channel multi-party meeting transcription
  challenge

The xmuspeech system for multi-channel multi-party meeting transcription challenge

11 February 2022
Jie Wang
Yuji Liu
Binling Wang
Yiming Zhi
Song Li
Shipeng Xia
Jiayang Zhang
Lin Li
Q. Hong
Feng Tong
ArXivPDFHTML

Papers citing "The xmuspeech system for multi-channel multi-party meeting transcription challenge"

2 / 2 papers shown
Title
Auto-Tuning Spectral Clustering for Speaker Diarization Using Normalized
  Maximum Eigengap
Auto-Tuning Spectral Clustering for Speaker Diarization Using Normalized Maximum Eigengap
Tae Jin Park
Kyu Jeong Han
Manoj Kumar
Shrikanth Narayanan
128
116
0
05 Mar 2020
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
202
313
0
04 Nov 2019
1