1 citations · 3 across the 15 of their papers we have counts for
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AlignVSR: Audio-Visual Cross-Modal Alignment for Visual Speech Recognition
Zehua Liu, Xiaolou Li, Chen Chen +3
Visual Speech Recognition (VSR) aims to recognize corresponding text by analyzing visual information from lip movements. Due to the high variability and weak information of lip mov…
Neural Scoring: A Refreshed End-to-End Approach for Speaker Recognition in Complex Conditions
Wan Lin, Junhui Chen, Tianhao Wang +3
Modern speaker verification systems primarily rely on speaker embeddings, followed by verification based on cosine similarity between the embedding vectors of the enrollment and te…
Quantitative Analysis of Audio-Visual Tasks: An Information-Theoretic Perspective
Chen Chen, Xiaolou Li, Zehua Liu +2
In the field of spoken language processing, audio-visual speech processing is receiving increasing research attention. Key components of this research include tasks such as lip rea…
CNVSRC 2023: The First Chinese Continuous Visual Speech Recognition Challenge
Chen Chen, Zehua Liu, Xiaolou Li +2
The first Chinese Continuous Visual Speech Recognition Challenge aimed to probe the performance of Large Vocabulary Continuous Visual Speech Recognition (LVC-VSR) on two tasks: (1)…
Zero-Shot Fake Video Detection by Audio-Visual Consistency
Xiaolou Li, Zehua Liu, Chen Chen +3
Recent studies have advocated the detection of fake videos as a one-class detection task, predicated on the hypothesis that the consistency between audio and visual modalities of g…
SE/BN Adapter: Parametric Efficient Domain Adaptation for Speaker Recognition
Tianhao Wang, Lantian Li, Dong Wang
Deploying a well-optimized pre-trained speaker recognition model in a new domain often leads to a significant decline in performance. While fine-tuning is a commonly employed solut…
A Comprehensive Investigation on Speaker Augmentation for Speaker Recognition
Zhenyu Zhou, Shibiao Xu, Shi Yin +2
Data augmentation (DA) has played a pivotal role in the success of deep speaker recognition. Current DA techniques primarily focus on speaker-preserving augmentation, which does no…
How phonemes contribute to deep speaker models?
Pengqi Li, Tianhao Wang, Lantian Li +2
Which phonemes convey more speaker traits is a long-standing question, and various perception experiments were conducted with human subjects. For speaker recognition, studies were…
Adversarial Data Augmentation for Robust Speaker Verification
Zhenyu Zhou, Junhui Chen, Namin Wang +2
Data augmentation (DA) has gained widespread popularity in deep speaker models due to its ease of implementation and significant effectiveness. It enriches training data by simulat…