1 citations · 2 across the 12 of their papers we have counts for
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Prototype and Instance Contrastive Learning for Unsupervised Domain Adaptation in Speaker Verification
Wen Huang, Bing Han, Zhengyang Chen +2
Speaker verification system trained on one domain usually suffers performance degradation when applied to another domain. To address this challenge, researchers commonly use featur…
WeSep: A Scalable and Flexible Toolkit Towards Generalizable Target Speaker Extraction
Shuai Wang, Ke Zhang, Shaoxiong Lin +6
Target speaker extraction (TSE) focuses on isolating the speech of a specific target speaker from overlapped multi-talker speech, which is a typical setup in the cocktail party pro…
Overview of Speaker Modeling and Its Applications: From the Lens of Deep Speaker Representation Learning
Shuai Wang, Zhengyang Chen, Kong Aik Lee +2
Speaker individuality information is among the most critical elements within speech signals. By thoroughly and accurately modeling this information, it can be utilized in various i…
Target Speech Diarization with Multimodal Prompts
Yidi Jiang, Ruijie Tao, Zhengyang Chen +2
Traditional speaker diarization seeks to detect ``who spoke when'' according to speaker characteristics. Extending to target speech diarization, we detect ``when target event occur…
Prompt-driven Target Speech Diarization
Yidi Jiang, Zhengyang Chen, Ruijie Tao +3
We introduce a novel task named `target speech diarization', which seeks to determine `when target event occurred' within an audio signal. We devise a neural architecture called Pr…
Leveraging In-the-Wild Data for Effective Self-Supervised Pretraining in Speaker Recognition
Shuai Wang, Qibing Bai, Qi Liu +5
Current speaker recognition systems primarily rely on supervised approaches, constrained by the scale of labeled datasets. To boost the system performance, researchers leverage lar…