Prompt tuning is a technology that tunes a small set of parameters to steer a pre-trained
language model (LM) to directly generate the output for downstream tasks. Recently, prompt …

Recent studies have demonstrated promising outcomes by employing large language
models with multi-tasking capabilities. They utilize prompts to guide the model's behavior …

Zero-shot spoken language understanding (SLU) enables systems to comprehend user
utterances in new domains without prior exposure to training data. Recent studies often rely …

Speech large language models (speech-LLMs) integrate speech and text-based foundation
models to provide a unified framework for handling a wide range of downstream tasks. In …

Lately, the development of deep learning algorithms has marked milestones in the field of
speech processing. In particular, the release of pre-trained feature extraction models has …

The end-to-end spoken language understanding system extracts the semantic intent directly
from an input speech. It effectively avoids problems such as semantic drift in traditional …

In real-world scenarios, speech signals are often contaminated with environmental noises,
and reverberation, which degrades speech quality and intelligibility. Lately, the development …