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cs.SD2026
Toward Elastic Speech Inference: Training-Free Wake-Word Detection from Pretrained ASR
Hwayeon Kim, Youngwon Choi, Hyeonyu Kim
Recent ASR development has placed growing emphasis on generalization across diverse domains and acoustic conditions. Existing approaches typically adapt pretrained ASR models to fr…
cs.SD2026
ZeSTA: Zero-Shot TTS Augmentation with Domain-Conditioned Training for Data-Efficient Personalized Speech Synthesis
Youngwon Choi, Jinwoo Oh, Hwayeon Kim +1
We investigate the use of zero-shot text-to-speech (ZS-TTS) as a data augmentation source for low-resource personalized speech synthesis. While synthetic augmentation can provide l…
cs.SD2025
Exploring Fine-Tuning of Large Audio Language Models for Spoken Language Understanding under Limited Speech Data
Youngwon Choi, Jaeyoon Jung, Hyeonyu Kim +2
Large Audio Language Models (LALMs) have emerged as powerful tools for speech-related tasks but remain underexplored for fine-tuning, especially with limited speech data. To bridge…