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. 1910.11416
  4. Cited By
A study of semi-supervised speaker diarization system using gan mixture
  model

A study of semi-supervised speaker diarization system using gan mixture model

24 October 2019
Monisankha Pal
Manoj Kumar
Raghuveer Peri
Shrikanth Narayanan
ArXiv (abs)PDFHTML

Papers citing "A study of semi-supervised speaker diarization system using gan mixture model"

4 / 4 papers shown
Title
Self-supervised Representation Learning With Path Integral Clustering
  For Speaker Diarization
Self-supervised Representation Learning With Path Integral Clustering For Speaker Diarization
Prachi Singh
Sriram Ganapathy
SSL
57
9
0
19 Apr 2021
Meta-learning with Latent Space Clustering in Generative Adversarial
  Network for Speaker Diarization
Meta-learning with Latent Space Clustering in Generative Adversarial Network for Speaker Diarization
Monisankha Pal
Manoj Kumar
Raghuveer Peri
Tae Jin Park
So Hyun Kim
C. Lord
Somer Bishop
Shrikanth Narayanan
130
20
0
19 Jul 2020
DNN Speaker Tracking with Embeddings
DNN Speaker Tracking with Embeddings
C. Castillo-Sanchez
Leibny Paola García-Perera
A. Martín-González
55
0
0
13 Jul 2020
Deep Representation Learning in Speech Processing: Challenges, Recent
  Advances, and Future Trends
Deep Representation Learning in Speech Processing: Challenges, Recent Advances, and Future Trends
S. Latif
R. Rana
Sara Khalifa
Raja Jurdak
Junaid Qadir
Björn W. Schuller
AI4TS
96
82
0
02 Jan 2020
1