activity
20212024
most citedOvercoming Language Priors in Visual Question Answering via Distinguishing Superficially Similar Instances

7 citations · 24 across the 13 of their papers we have counts for

collaborators

13 papers

eess.AS2024

SELM: Speech Enhancement Using Discrete Tokens and Language Models

Ziqian Wang, Xinfa Zhu, Zihan Zhang +4

Language models (LMs) have shown superior performances in various speech generation tasks recently, demonstrating their powerful ability for semantic context modeling. Given the in…

eess.AS2023

Haha-Pod: An Attempt for Laughter-based Non-Verbal Speaker Verification

Yuke Lin, Xiaoyi Qin, Ning Jiang +2

It is widely acknowledged that discriminative representation for speaker verification can be extracted from verbal speech. However, how much speaker information that non-verbal voc…

eess.AS2023

Multi-objective Progressive Clustering for Semi-supervised Domain Adaptation in Speaker Verification

Ze Li, Yuke Lin, Ning Jiang +4

Utilizing the pseudo-labeling algorithm with large-scale unlabeled data becomes crucial for semi-supervised domain adaptation in speaker verification tasks. In this paper, we propo…

eess.AS2023

Boosting Multi-Speaker Expressive Speech Synthesis with Semi-supervised Contrastive Learning

Xinfa Zhu, Yuke Li, Yi Lei +3

This paper aims to build a multi-speaker expressive TTS system, synthesizing a target speaker's speech with multiple styles and emotions. To this end, we propose a novel contrastiv…

eess.AS2023★ 4 cited

The DKU-MSXF Speaker Verification System for the VoxCeleb Speaker Recognition Challenge 2023

Ze Li, Yuke Lin, Xiaoyi Qin +3

This paper is the system description of the DKU-MSXF System for the track1, track2 and track3 of the VoxCeleb Speaker Recognition Challenge 2023 (VoxSRC-23). For Track 1, we utiliz…

eess.AS2023

The DKU-MSXF Diarization System for the VoxCeleb Speaker Recognition Challenge 2023

Ming Cheng, Weiqing Wang, Xiaoyi Qin +4

This paper describes the DKU-MSXF submission to track 4 of the VoxCeleb Speaker Recognition Challenge 2023 (VoxSRC-23). Our system pipeline contains voice activity detection, clust…

eess.AS2023★ 1 cited

VoxBlink: A Large Scale Speaker Verification Dataset on Camera

Yuke Lin, Xiaoyi Qin, Guoqing Zhao +4

In this paper, we introduce a large-scale and high-quality audio-visual speaker verification dataset, named VoxBlink. We propose an innovative and robust automatic audio-visual dat…

cs.SD2023

The NPU-MSXF Speech-to-Speech Translation System for IWSLT 2023 Speech-to-Speech Translation Task

Kun Song, Yi lei, Peikun Chen +6

This paper describes the NPU-MSXF system for the IWSLT 2023 speech-to-speech translation (S2ST) task which aims to translate from English speech of multi-source to Chinese speech.…

cs.CL2023★ 5 cited

TreeMAN: Tree-enhanced Multimodal Attention Network for ICD Coding

Zichen Liu, Xuyuan Liu, Yanlong Wen +3

ICD coding is designed to assign the disease codes to electronic health records (EHRs) upon discharge, which is crucial for billing and clinical statistics. In an attempt to improv…

cs.CL2023

MADI: Inter-domain Matching and Intra-domain Discrimination for Cross-domain Speech Recognition

Jiaming Zhou, Shiwan Zhao, Ning Jiang +2

End-to-end automatic speech recognition (ASR) usually suffers from performance degradation when applied to a new domain due to domain shift. Unsupervised domain adaptation (UDA) ai…

cs.CL2022★ 6 cited

MoSE: Modality Split and Ensemble for Multimodal Knowledge Graph Completion

Yu Zhao, Xiangrui Cai, Yike Wu +4

Multimodal knowledge graph completion (MKGC) aims to predict missing entities in MKGs. Previous works usually share relation representation across modalities. This results in mutua…

cs.CL2022★ 7 cited

Overcoming Language Priors in Visual Question Answering via Distinguishing Superficially Similar Instances

Yike Wu, Yu Zhao, Shiwan Zhao +4

Despite the great progress of Visual Question Answering (VQA), current VQA models heavily rely on the superficial correlation between the question type and its corresponding freque…

cs.CV2021★ 1 cited

TPSNet: Reverse Thinking of Thin Plate Splines for Arbitrary Shape Scene Text Representation

Wei Wang, Yu Zhou, Jiahao Lv +4

The research focus of scene text detection and recognition has shifted to arbitrary shape text in recent years, where the text shape representation is a fundamental problem. An ide…