Shoufeng Lin — accepted AI-conference papers

2024

GLMB 3D Speaker Tracking with Video-Assisted Multi-Channel Audio Optimization Functions

Xinyuan Qian, Zexu Pan, Qiquan Zhang, Kainan Chen, Shoufeng Lin

ICASSP 2024accepted

Speaker tracking plays a significant role in numerous real-world human robot interaction (HRI) applications. In recent years, there has been a growing interest in utilizing multi-sensory information, such as complementary audio and visual signals, to address the challenges of speaker tracking. Despi…

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2018

Jointly Tracking and Separating Speech Sources Using Multiple Features and the Generalized Labeled Multi-Bernoulli Framework

Shoufeng Lin

ICASSP 2018accepted

This paper proposes a novel joint multi-speaker tracking-and-separation method based on the generalized labeled multi-Bernoulli (GLMB) multi-target tracking filter, using sound mixtures recorded by microphones. Standard multi-speaker tracking algorithms usually only track speaker locations, and ambi…

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