Assistant Professor at Xi'an Jiaotong-Liverpool University
Taicang, Jiangsu, China
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Summary
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Xuechen Liu is an assistant professor and researcher with 10 years of experience specializing in speaker recognition, deepfake detection, multimodal processing, and generative modeling. He holds a PhD in Computer Science and has transitioned academic research across Inria, National Institute of Informatics, and now Xi'an Jiaotong-Liverpool University, blending rigorous theory with practical system development. His engineering contributions include extending the popular SpeechBrain PyTorch toolkit for speaker embedding extraction and inference on VoxCeleb, reflecting hands-on expertise with widely used open-source speech tools. Prior industry roles in ASR and SRE, plus internships in medical/audio signal processing, give him a strong applied background for deploying robust biometric and audio-analysis systems. Colleagues know him for bridging deep research with reproducible code and for bringing novel robustness insights from his PhD into real-world detection and recognition pipelines.
10 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Eastern Finland
Master of Science (MSc), Artificial Intelligence, Master of Science (MSc), Artificial Intelligence at The University of Edinburgh
Bachelor of Engineering (BEng), Computer Science and Electronic Engineering, Bachelor of Engineering (BEng), Computer Science and Electronic Engineering at University of Liverpool
Bachelor of Engineering (BEng), Computer Science and Technology, Bachelor of Engineering (BEng), Computer Science and Technology at Xi'an Jiaotong-Liverpool University
Contributions:24 commits, 5 PRs, 22 comments in 1 year
Contributions summary:Xuechen primarily contributed to speaker embedding extraction and related tasks within the speechbrain/speechbrain repository. The commits focus on creating inference scripts and adapting existing code for speaker-related functionalities, specifically within the context of the VoxCeleb dataset. This includes tasks like computing embeddings, storing them in specific formats, and implementing options such as trimming and chunking. These changes indicate a focus on utilizing and extending existing speaker recognition capabilities within the toolkit.
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Xuechen Liu - Assistant Professor at Xi'an Jiaotong-Liverpool University