Author

Seungu Han

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Preprint Oct 2026

Towards Privacy-Preserving ASR: Speaker-Level Machine Unlearning

Automatic Speech Recognition (ASR) systems are commonly designed to transcribe linguistic content independently of speaker identity. However, speaker-specific information can persist within the latent representations of ASR models, raising privacy concerns when training data includes sensitive individuals. While machin...

Seaone Ok, Seungu Han, Eungbeom Kim et al. · 0 citations

#machine learning Preprint Oct 2026

LiveAnon: Improving Privacy and Utility in Streaming Speaker Anonymization with Codec Language Models

Speaker anonymization (SA) aims to conceal speaker identity while preserving linguistic content and emotion, but existing streaming systems often lose emotion information through discrete content bottlenecks or require emotion-specific modeling. We present LiveAnon, a voice-conversion-based streaming SA system that dir...

Yejin Kim, Kyungsu Kim, Seungu Han et al. · 0 citations