3 papers
cs.SD2025
MT-HuBERT: Self-Supervised Mix-Training for Few-Shot Keyword Spotting in Mixed Speech
Junming Yuan, Ying Shi, Dong Wang +2
Few-shot keyword spotting aims to detect previously unseen keywords with very limited labeled samples. A pre-training and adaptation paradigm is typically adopted for this task. Wh…
cs.DB2024
An Actor-Critic Approach to Boosting Text-to-SQL Large Language Model
Ziyang Zheng, Haipeng Jing, Canyu Rui +2
Text-To-SQL (T2S) conversion based on large language models (LLMs) has found a wide range of applications, by leveraging the capabilities of LLMs in interpreting the query intent e…
cs.SD2024
Few-Shot Keyword Spotting from Mixed Speech
Junming Yuan, Ying Shi, LanTian Li +2
Few-shot keyword spotting (KWS) aims to detect unknown keywords with limited training samples. A commonly used approach is the pre-training and fine-tuning framework. While effecti…