7 citations · 18 across the 11 of their papers we have counts for
11 papers
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…
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…
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…
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.…
Multi-task Collaborative Pre-training and Individual-adaptive-tokens Fine-tuning: A Unified Framework for Brain Representation Learning
Ning Jiang, Gongshu Wang, Tianyi Yan
Structural magnetic resonance imaging (sMRI) provides accurate estimates of the brain's structural organization and learning invariant brain representations from sMRI is an endurin…
Connectional-Style-Guided Contextual Representation Learning for Brain Disease Diagnosis
Gongshu Wang, Ning Jiang, Yunxiao Ma +6
Structural magnetic resonance imaging (sMRI) has shown great clinical value and has been widely used in deep learning (DL) based computer-aided brain disease diagnosis. Previous ap…
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…
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…
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…
Improving Transformer-based Conversational ASR by Inter-Sentential Attention Mechanism
Kun Wei, Pengcheng Guo, Ning Jiang
Transformer-based models have demonstrated their effectiveness in automatic speech recognition (ASR) tasks and even shown superior performance over the conventional hybrid framewor…
Modeling Temporal-Modal Entity Graph for Procedural Multimodal Machine Comprehension
Huibin Zhang, Zhengkun Zhang, Yao Zhang +5
Procedural Multimodal Documents (PMDs) organize textual instructions and corresponding images step by step. Comprehending PMDs and inducing their representations for the downstream…