Han-Gil Moon — accepted AI-conference papers

2024

Fspen: an Ultra-Lightweight Network for Real Time Speech Enahncment

Lei Yang, Wei Liu, Ruijie Meng, Gunwoo Lee, Soonho Baek, Han-Gil Moon

ICASSP 2024accepted

Deep learning-based speech enhancement methods have shown promising result in recent years. However, in practical applications, the model size and computational complexity are important factors that limit their use in end-products. Therefore, in products that require real-time speech enhancement wit…

Cited by 25 Source ↗Scholar ↗

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…

Cited by 0 Source ↗Scholar ↗