most citedSpeechPrompt: Prompting Speech Language Models for Speech Processing Tasks

8 citations · 8 across the 2 of their papers we have counts for

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eess.AS2025

SIFT-50M: A Large-Scale Multilingual Dataset for Speech Instruction Fine-Tuning

Prabhat Pandey, Rupak Vignesh Swaminathan, K V Vijay Girish +4

We introduce SIFT (Speech Instruction Fine-Tuning), a 50M-example dataset designed for instruction fine-tuning and pre-training of speech-text large language models (LLMs). SIFT-50…

eess.AS2024★ 8 cited

SpeechPrompt: Prompting Speech Language Models for Speech Processing Tasks

Kai-Wei Chang, Haibin Wu, Yu-Kai Wang +6

Prompting has become a practical method for utilizing pre-trained language models (LMs). This approach offers several advantages. It allows an LM to adapt to new tasks with minimal…