88 citations · 327 across the 17 of their papers we have counts for
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eess.AS2024
Contextualization of ASR with LLM using phonetic retrieval-based augmentation
Zhihong Lei, Xingyu Na, Mingbin Xu +5
Large language models (LLMs) have shown superb capability of modeling multimodal signals including audio and text, allowing the model to generate spoken or textual response given a…
cs.IR2024★ 10 cited
Synthetic Query Generation using Large Language Models for Virtual Assistants
Sonal Sannigrahi, Thiago Fraga-Silva, Youssef Oualil +1
Virtual Assistants (VAs) are important Information Retrieval platforms that help users accomplish various tasks through spoken commands. The speech recognition system (speech-to-te…