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Fuchuan Tong

2 accepted papers

2022

Graph Convolutional Network Based Semi-Supervised Learning on Multi-Speaker Meeting Data

ICASSP 2022accepted

Unsupervised clustering on speakers is becoming increasingly important for its potential uses in semi-supervised learning. In reality, we are often presented with enormous amounts of unlabeled data from multi-party meetings and discussions. An effective unsupervised clustering approach would allow u…

Cited by 0SourceScholar
2021

ASV-SUBTOOLS: Open Source Toolkit for Automatic Speaker Verification

ICASSP 2021accepted

In this paper, we introduce a new open source toolkit for automatic speaker verification (ASV), named ASV-Subtools. Adopting PyTorch as main deep learning engine and Kaldi toolkit for data processing, ASV-Subtools allows users to develop modern speaker recognizers flexibly and efficiently. The toolk…

Cited by 0SourceScholar