@HungyiLee2: Join the 2026 ISCA Distinguished Lecture Series! Kai Yu — Oct 5 Joseph Keshet — Oct 14 Kong Aik Lee — Oct 30 All at 13:…

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The article announces the 2026 ISCA Distinguished Lecture Series, featuring talks on LLM agents, real-world Speech AI, and speaker recognition & anti-spoofing by experts such as Kai Yu, Joseph Keshet, and Kong Aik Lee. The detailed abstract for Kong Aik Lee's talk covers recent advances in speaker verification and speech deepfake detection, including evaluation metrics and ethical considerations.

🎙️ Join the 2026 ISCA Distinguished Lecture Series! 📅 Kai Yu — Oct 5 📅 Joseph Keshet — Oct 14 📅 Kong Aik Lee — Oct 30 All at 13:00 UTC. Topics include LLM agents, real-world Speech AI, and speaker recognition & anti-spoofing. Register here: https://t.co/4hgU9zHLOJ
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🎙️ Join the 2026 ISCA Distinguished Lecture Series! 📅 Kai Yu — Oct 5 📅 Joseph Keshet — Oct 14 📅 Kong Aik Lee — Oct 30 All at 13:00 UTC. Topics include LLM agents, real-world Speech AI, and speaker recognition & anti-spoofing. Register here: https://t.co/4hgU9zHLOJ


ISCA Online Distinguished Lectures 2026 — Registration

Source: https://docs.google.com/forms/d/e/1FAIpQLSf7NUSyR_zGxuxle7nmQRGjXbnj95s43o4HRjWi4N9OcM0J1Q/viewform?usp=send_form 30 October 2026 | 13:00–15:00 UTC(Register by 27 October 2026, 13:00 UTC to ensure that we send you the Zoom link.) The Hong Kong Polytechnic University

Speaker Recognition and Anti-Spoofing: State of the Art, Metrics, and Ethics

Abstract Speech carries rich information about who we are and what we say, making it an important modality for authentication and human-computer interaction. At the same time, advances in generative AI have made it possible to synthesize realistic speech that can mimic any speaker. This talk provides an overview of recent advances in speaker recognition and speech deepfake detection. We will first review state-of-the-art approaches in automatic speaker verification and recent work on uncertainty in speaker representation learning. For speech deepfake detection, we will discuss representative approaches together with meta-learning approaches for improving domain generalization. A particular focus of the talk will be on how these systems are evaluated. We introduce joint evaluation using metrics such as Tandem EER and Tandem DCF, which provide a way to assess speaker verification and anti-spoofing performance together. The talk will conclude by highlighting the ethical dimensions of speech technologies, including the tension between the use of voice modality and the need to protect voice privacy, security, and safety.

About the speaker Kong Aik LEE is currently an Associate Professor at The Hong Kong Polytechnic University since 2023. He received his Ph.D. degree from Nanyang Technological University, Singapore, in 2006. Following his graduation, he joined the Institute for Infocomm Research, Singapore, where he worked as a Research Scientist and concurrently served as a Strategic Planning Manager. From 2018 to 2020, he was a Senior Principal Researcher at the Data Science Research Laboratories, NEC Corporation, Tokyo, Japan. From 2020 to 2023, he served as a Principal Scientist and Group Leader at the Agency for Science, Technology and Research (A*STAR), Singapore, while concurrently holding an appointment as an Associate Professor at the Singapore Institute of Technology. Prof. Lee is a recipient of the Singapore IES Prestigious Engineering Achievement Award (2013) and the IEEE ICME Outstanding Service Award (2020). He has served on the Editorial Board of Computer Speech and Language (Elsevier) since 2016 and was an Associate Editor for the IEEE/ACM Transactions on Audio, Speech, and Language Processing from 2017 to 2021. He was the General Chair of the Speaker Odyssey 2020 Workshop, and an elected member of the IEEE Speech and Language Processing Technical Committee (2019-2021, 2022-2024). He currently serves as a Senior Associate Editor for the IEEE Signal Processing Letters, Chair of ISCA Speaker and Language Characterization (SpLC) SIG, and ISCA Lead AC (Speaker and Language Characterization, 2026 to 2027). His research interests include speech privacy, voice biometrics and security, speaker recognition and anonymization, speech spoofing and countermeasures, machine learning and deep learning, and signal processing.

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