6 citations · 6 across the 2 of their papers we have counts for
3 papers
cs.CL2026
OSynth: A Longitudinal, Context-Sensitive Evaluation of Meeting Understanding
Ian Porada, Suraj Tripathi, Chaitanya Animesh +8
Meeting notetakers are increasingly deployed in settings where longitudinal context is available including calendar metadata, prior meetings, emails, slides, and speaker enrollment…
eess.AS2024
CJST: CTC Compressor based Joint Speech and Text Training for Decoder-Only ASR
Wei Zhou, Junteng Jia, Leda Sari +2
CTC compressor can be an effective approach to integrate audio encoders to decoder-only models, which has gained growing interest for different speech applications. In this work, w…
eess.AS2024★ 6 cited
Frozen Large Language Models Can Perceive Paralinguistic Aspects of Speech
Wonjune Kang, Junteng Jia, Chunyang Wu +8
This work studies the capabilities of a large language model (LLM) to understand paralinguistic aspects of speech without fine-tuning its weights. We utilize an end-to-end system w…