Lufen Tan

2 accepted papers

2026

MEANSE: EFFICIENT GENERATIVE SPEECH ENHANCEMENT WITH MEAN FLOWS

JiaHe Wang, Lei Yang, Chenda Li, Lufen Tan, Yanmin Qian

ICASSP 2026poster

Speech enhancement (SE) improves degraded speech's quality, with generative models like flow matching gaining attention for their outstanding perceptual quality. However, the flow-based model requires multiple numbers of function evaluations (NFEs) to achieve stable and satisfactory performance, lea…

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2023

Target Speaker Extraction with Ultra-Short Reference Speech by VE-VE Framework

Lei Yang, Wei Liu, Lufen Tan, Jaemo Yang, Han-Gil Moon

ICASSP 2023accepted

The goal of target speaker extraction (TSE) is to extract the target speaker's voice from the mixture speech of multiple speakers. It needs to enroll the speech of the target speaker in advance as a reference. However, in practical applications, too long reference speech during enrollment will decre…

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