Meng Ge

About Meng Ge

Meng Ge, With an exceptional h-index of 11 and a recent h-index of 11 (since 2020), a distinguished researcher at Tianjin University,

His recent articles reflect a diverse array of research interests and contributions to the field:

Selective HuBERT: Self-Supervised Pre-Training for Target Speaker in Clean and Mixture Speech

Improving Distinguishability of Class for Graph Neural Networks

sVAD: A Robust, Low-Power, and Light-Weight Voice Activity Detection with Spiking Neural Networks

Robust voice activity detection using an auditory-inspired masked modulation encoder based convolutional attention network

An Empirical Study on the Impact of Positional Encoding in Transformer-based Monaural Speech Enhancement

Gradient weighting for speaker verification in extremely low Signal-to-Noise Ratio

Unveiling Implicit Deceptive Patterns in Multi-modal Fake News via Neuro-Symbolic Reasoning

PIAVE: A Pose-Invariant Audio-Visual Speaker Extraction Network

Meng Ge Information

University

Position

___

Citations(all)

359

Citations(since 2020)

356

Cited By

46

hIndex(all)

11

hIndex(since 2020)

11

i10Index(all)

12

i10Index(since 2020)

12

Email

University Profile Page

Google Scholar

Top articles of Meng Ge

Selective HuBERT: Self-Supervised Pre-Training for Target Speaker in Clean and Mixture Speech

IEEE Signal Processing Letters

2024/4/3

Meng Ge
Meng Ge

H-Index: 5

Haizhou Li
Haizhou Li

H-Index: 48

Improving Distinguishability of Class for Graph Neural Networks

Proceedings of the AAAI Conference on Artificial Intelligence

2024/3/24

sVAD: A Robust, Low-Power, and Light-Weight Voice Activity Detection with Spiking Neural Networks

ICASSP 2024

2024/3/9

Robust voice activity detection using an auditory-inspired masked modulation encoder based convolutional attention network

Speech Communication

2024/2/1

An Empirical Study on the Impact of Positional Encoding in Transformer-based Monaural Speech Enhancement

ICASSP 2024

2024/1/18

Gradient weighting for speaker verification in extremely low Signal-to-Noise Ratio

ICASSP 2024

2024/1/5

Unveiling Implicit Deceptive Patterns in Multi-modal Fake News via Neuro-Symbolic Reasoning

AAAI 2024

2024

PIAVE: A Pose-Invariant Audio-Visual Speaker Extraction Network

INTERSPEECH 2023

2023/9/13

Rethinking the visual cues in audio-visual speaker extraction

arXiv preprint arXiv:2306.02625

2023/6/5

Stream Attention Based U-Net for L3DAS23 Challenge

2023/6/4

Locate and Beamform: Two-dimensional Locating All-neural Beamformer for Multi-channel Speech Separation

INTERSPEECH 2023

2023/5/18

Time-domain speech separation networks with graph encoding auxiliary

IEEE Signal Processing Letters

2023/2/9

The NUS-HLT System for ICASSP2024 ICMC-ASR Grand Challenge

arXiv preprint arXiv:2312.16002

2023/12/26

A Refining Underlying Information Framework for Speech Enhancement

arXiv preprint arXiv:2312.11201

2023/12/18

Task-Adaptive Generative Adversarial Network Based Speech Dereverberation for Robust Speech Recognition

2023/12/8

USED: Universal speaker extraction and diarization

arXiv preprint arXiv:2309.10674

2023/9/19

Audio-Visual Active Speaker Extraction for Sparsely Overlapped Multi-talker Speech

2024/4/14

Deep multi-task cascaded acoustic echo cancellation and noise suppression

2022/12/11

Adaptive attention network with domain adversarial training for multi-accent speech recognition

2022/12/11

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

INTERSPEECH 2022

2022/12/7

See List of Professors in Meng Ge University(Tianjin University)

Co-Authors

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