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20182024
most citedRelation Modeling with Graph Convolutional Networks for Facial Action Unit Detection

87 citations · 146 across the 15 of their papers we have counts for

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5 papers · 1 filter

eess.AS20221 cited

MIMO-DBnet: Multi-channel Input and Multiple Outputs DOA-aware Beamforming Network for Speech Separation

Yanjie Fu, Haoran Yin, Meng Ge +5

Recently, many deep learning based beamformers have been proposed for multi-channel speech separation. Nevertheless, most of them rely on extra cues known in advance, such as speak…

eess.AS20221 cited

Monolingual Recognizers Fusion for Code-switching Speech Recognition

Tongtong Song, Qiang Xu, Haoyu Lu +5

The bi-encoder structure has been intensively investigated in code-switching (CS) automatic speech recognition (ASR). However, most existing methods require the structures of two m…

eess.AS2022

L-SpEx: Localized Target Speaker Extraction

Meng Ge, Chenglin Xu, Longbiao Wang +3

Speaker extraction aims to extract the target speaker's voice from a multi-talker speech mixture given an auxiliary reference utterance. Recent studies show that speaker extraction…

eess.AS20205 cited

Multi-stage Speaker Extraction with Utterance and Frame-Level Reference Signals

Meng Ge, Chenglin Xu, Longbiao Wang +3

Speaker extraction requires a sample speech from the target speaker as the reference. However, enrolling a speaker with a long speech is not practical. We propose a speaker extract…

eess.AS202018 cited

SpEx+: A Complete Time Domain Speaker Extraction Network

Meng Ge, Chenglin Xu, Longbiao Wang +3

Speaker extraction aims to extract the target speech signal from a multi-talker environment given a target speaker's reference speech. We recently proposed a time-domain solution,…