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Seokyeong Jung

2 accepted papers

2025

ValSub: Subsampling Validation Data to Mitigate Forgetting during ASR Personalization

ICASSP 2025accepted

Automatic Speech Recognition (ASR) is widely used within consumer devices such as mobile phones. Recently, personalization or on-device model fine-tuning has shown that adaptation of ASR models towards target user speech improves their performance over rare words or accented speech. Despite these ga…

Cited by 0SourceScholar
2025

persoDA: Personalized Data Augmentation for Personalized ASR

ICASSP 2025accepted

Data augmentation (DA) is ubiquitously used in training of Automatic Speech Recognition (ASR) models. DA offers increased data variability, robustness and generalization against different acoustic distortions. Recently, personalization of ASR models on mobile devices has been shown to improve Word E…

Cited by 0SourceScholar