Dong-Hyun Kim — accepted AI-conference papers

2024

Text-Only Unsupervised Domain Adaptation for Neural Transducer-Based ASR Personalization Using Synthesized Data

Dong-Hyun Kim, Jae-Hong Lee, Joon-Hyuk Chang

ICASSP 2024accepted

Research on personalizing neural transducer-based automatic speech recognition (ASR) systems using the text-only data is currently flourishing. Among various approaches, utilizing synthesized speech offers an advantage of adapting the entire ASR system. In this study, we explore the problem of perso…

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2023

Repackagingaugment: Overcoming Prediction Error Amplification in Weight-Averaged Speech Recognition Models Subject to Self-Training

Jae-Hong Lee, Dong-Hyun Kim, Joon-Hyuk Chang

ICASSP 2023accepted

Representation-based speech recognition models have demonstrated state-of-the-art performance on downstream tasks. These models are pre-trained on large-scale unlabeled data, fine-tuned on a small amount of labeled data, and subsequently advanced via the self-training procedure by leveraging pseudo-…

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