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Research
研究プロジェクト・論文・書籍等
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FakeMark: Deepfake Speech Attribution With Watermarked Artifacts
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From Articles to Premises: Building PrimeFacts, an Extraction Methodology and Resource for Fact-Checking Evidence
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Towards Data Drift Monitoring for Speech Deepfake Detection in the context of MLOps
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Training Dynamics-Aware Multi-Factor Curriculum Learning for Target Speaker Extraction
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VeriTrace: A Multitask Disaster Dataset for Real-Fake Verification and Source Tracing
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Pushing the Frontiers of Scientific Fact-Checking: The SCINLP Dataset
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Prompt-driven Detection of Offensive Urdu Language using Large Language Models
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Learning Relationship Between Speaker Embeddings and Descriptions of Speaker Traits
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Post-training for Deepfake Speech Detection
