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20152026
most citedCN-CELEB: a challenging Chinese speaker recognition dataset

13 citations · 75 across the 46 of their papers we have counts for

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36 papers · 1 filter

cs.SD2026

Training-Free Multi-Step Inference for Target Speaker Extraction

Zhenghai You, Ying Shi, Lantian Li +1

Target speaker extraction (TSE) aims to recover a target speaker's speech from a mixture using a reference utterance as a cue. Most TSE systems adopt conditional auto-encoder archi…

cs.SD2025

MT-HuBERT: Self-Supervised Mix-Training for Few-Shot Keyword Spotting in Mixed Speech

Junming Yuan, Ying Shi, Dong Wang +2

Few-shot keyword spotting aims to detect previously unseen keywords with very limited labeled samples. A pre-training and adaptation paradigm is typically adopted for this task. Wh…

cs.SD2025

An Investigation on Speaker Augmentation for End-to-End Speaker Extraction

Zhenghai You, Zhenyu Zhou, Lantian Li +1

Target confusion, defined as occasional switching to non-target speakers, poses a key challenge for end-to-end speaker extraction (E2E-SE) systems. We argue that this problem is la…

cs.SD20241 cited

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…

cs.SD2024

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…

cs.SD2024

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…