Sep 2024 — present
Senior Research Scientist
Apple
For over a decade I've worked on speech technology: keeping it trustworthy by detecting speech deepfakes and verifying who is really speaking, and making sense of conversations by tracking who spoke when. My teams have taken first place in international challenges, and my research spans industry and academia — Naver Clova, a postdoc at Carnegie Mellon, and now Senior Research Scientist at Apple. Today I'm increasingly focused on building speech LLMs to be personalized and to understand paralinguistics.
Now — Senior Research Scientist, Apple.
Focus — speech LLMs, speech deepfake detection & speaker recognition.
Publications — 90+ at ICASSP & INTERSPEECH.
Community — co-organizer of the SASV, VoxSRC, ASVspoof 5 & WildSpoof challenges.
Detecting speech deepfakes and verifying who is really speaking, so voice interfaces can be trusted.
Knowing who spoke when, and making sense of multi-speaker audio.
Personalized spoken-language models that understand paralinguistics.
Full list of 90+ publications available in the CV.
I've had the privilege of working with extremely talented students, fostering their growth as researchers. These collaborations have produced impactful publications across diverse speech-processing tasks. I'm always excited to mentor new people — reach out if you'd like to explore working together.
Dynamic pruning of LLMs
Spoken language understanding · spoken dialogue systems
Robust automatic speaker verification
Speaker verification · spoofing-robust ASV
For collaboration, questions, or correspondence on speech, audio security, and machine learning:
[email protected]