Stephen Shum — accepted AI-conference papers

2025

Speaker-IPL: Unsupervised Learning of Speaker Characteristics with i-Vector based Pseudo-Labels

Zakaria Aldeneh, Takuya Higuchi, Jee-Weon Jung, Li-Wei Chen, Stephen Shum, Ahmed Hussen Abdelaziz +3

ICASSP 2025accepted

Iterative self-training, or iterative pseudo-labeling (IPL)—using an improved model from the current iteration to provide pseudo-labels for the next iteration—has proven to be a powerful approach to enhance the quality of speaker representations. Recent applications of IPL in unsupervised speaker re…

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2018

Generalised Discriminative Transform via Curriculum Learning for Speaker Recognition

Erik Marchi, Stephen Shum, Kvuveon Hwang, Sachin Kajarekar, Siddharth Sigtia, Hywel Richards +3

ICASSP 2018accepted

In this paper we introduce a speaker verification system deployed on mobile devices that can be used to personalise a keyword spotter. We describe a baseline DNN system that maps an utterance to a speaker embedding, which is used to measure speaker differences via cosine similarity. We then introduc…

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