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Post-Training Embedding Alignment for Decoupling ...
arXiv
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arXiv
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由 C Gao 著作2024被引用 2 次 — We propose using a lightweight neural network to map the embeddings from the two independent models to a shared speaker embedding space.
Post-Training Embedding Alignment for Decoupling ...
IEEE Xplore
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IEEE Xplore
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由 C Gao 著作2024被引用 2 次 — To construct the training dataset for embedding space alignment, we apply an existing speaker recognition model to the data and build positive speaker/utterance.
5 頁
Post-Training Embedding Alignment for Decoupling ...
智源社区
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智源社区
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2024年1月22日 — 自动说话人识别（SID）是个人化广泛语音服务的关键步骤。典型的SID系统使用对称的注册验证框架，使用单个模型从离线的注册语音和在线的运行时语音中提取 ...
Chelsea Ju's Post
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LinkedIn
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2024年4月17日 — Excited to share that I will be presenting our work "Post-Training Embedding Alignment for Decoupling Enrollment and Runtime Speaker ...
SLP-P20: Speaker Recognition and Anonymization
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Conference Management Services
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2024年3月20日 — SLP-P20.6: POST-TRAINING EMBEDDING ALIGNMENT FOR DECOUPLING ENROLLMENT AND RUNTIME SPEAKER RECOGNITION MODELS. Chenyang Gao, Rutgers, The ...
Aman Chadha on LinkedIn: ICASSP 2024 Paper
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2024年1月26日 — Announcing our ICASSP 2024 paper: "Post-training Embedding Alignment for Decoupling Enrollment and Runtime Speaker Recognition Models" ...
Speaker Recognition
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Post-Training Embedding Alignment for Decoupling Enrollment and Runtime Speaker Recognition Models ... Automated speaker identification (SID) is a crucial step ...
IEEE ICASSP 2024 || Seoul, Korea || 14-19 April 2024
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2024年4月11日 — SLP-P20.6: POST-TRAINING EMBEDDING ALIGNMENT FOR DECOUPLING ENROLLMENT AND RUNTIME SPEAKER RECOGNITION MODELS. Chenyang Gao, Rutgers, The ...
Brecht Desplanques
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Post-training embedding alignment for decoupling enrollment and runtime speaker recognition models. C Gao, B Desplanques, CJT Ju, A Chadha, A Stolcke. ICASSP ...
Andreas Stolcke's research works | Amazon and other places
ResearchGate
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This challenge comprises three post-ASR language modeling tasks: (i) post-ASR transcription correction, (ii) speaker tagging, and (iii) emotion recognition.