Supervised Hierarchical Clustering Using Graph Neural Networks for Speaker Diarization
Author:
Affiliation:
1. Indian Institute of Science,LEAP Lab, Electrical Engineering,Bangalore
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10094559/10094560/10095372.pdf?arnumber=10095372
Reference33 articles.
1. LSTM Based Similarity Measurement with Spectral Clustering for Speaker Diarization
2. Towards Neural Diarization for Unlimited Numbers of Speakers Using Global and Local Attractors
3. Learning Hierarchical Graph Neural Networks for Image Clustering
4. Self-Supervised Metric Learning With Graph Clustering For Speaker Diarization
5. Analysis of the BUT diarization system for voxconverse challenge;landini;IEEE ICASSP,2021
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