劉 学琛

略歴

Xuechen Liu is a Project Postdoctoral Researcher at the National Institute of Informatics in Tokyo, Japan. He holds a PhD in Computer Science from the University of Eastern Finland and has industrial experience at Emotech LTD. His research focuses on audio deepfake detection, speaker recognition, and multi-modal information retrieval. He has published extensively in speech and audio conference venues and journals and has been an organizing committee member of ASVspoof Challenges since 2021.

経歴

受賞歴

• 2015年 COMAP 数学コンテスト・イン・モデリング Meritorious winner

学会活動

• IEEE, ISCA会員

最近の研究

• ASVspoof 5: Design, collection and validation of resources for spoofing, deepfake, and adversarial attack detection using crowdsourced speech
• Explaining Speaker and Spoof Embeddings via Probing
• [Arxiv] Libri2Vox Dataset: Target Speaker Extraction with Diverse Speaker Conditions and Synthetic Data
• Improving curriculum learning for target speaker extraction with synthetic speakers
• Disentangling the Prosody and Semantic Information with Pre-trained Model for In-Context Learning based Zero-Shot Voice Conversion
• A Preliminary Study on Long-Form In-the-Wild Audio Spoofing Detection
• Quantifying Source Speaker Leakage in One-to-One Voice Conversion
• Generating Speakers by Prompting Listener Impressions for Pre-trained Multi-Speaker Text-to-Speech Systems
• Target Speaker Extraction with Curriculum Learning
• ASVspoof 5: Crowdsourced Speech Data, Deepfakes, and Adversarial Attacks at Scale
• Open-Source Conversational AI with SpeechBrain 1.0
• [Arxiv] Speaker-Text Retrieval via Contrastive Learning
• Towards single integrated spoofing-aware speaker verification embeddings
• ASVspoof 2021: Towards Spoofed and Deepfake Speech Detection in the Wild
• Benchmarking and challenges in security and privacy for voice biometrics
• ASVspoof 2021: accelerating progress in spoofed and deepfake speech detection