7 citations · 11 across the 13 of their papers we have counts for
4 papers · 1 filter
Preference-Aware Pareto Steering for Multi-Task Speech LLMs
Liuyuan Jiang, Vishal Sunder, Samuel Thomas +4
Speech large language models (LLMs) perform multiple tasks, including automatic speech recognition (ASR), timestamp prediction (TS), and speech translation (ST). Joint training of…
Design of the IBM Granite 5.0 TurboCTC ASR Model
Brian Kingsbury, George Saon, Masayuki Suzuki +5
We describe the architecture, training methodology and inference speedups of Granite 5.0 Turbo CTC, a 470 million parameter encoder-only model with an excellent speed-accuracy trad…
Word Timestamps and Speaker Attribution with a Non-Autoregressive LLM
Zvi Kons, Avihu Dekel, Hagai Aronowitz +2
Timestamps and speaker attribution are useful additions to speech recognition, creating a rich text transcript. This information can either be extracted during transcription or ali…
CHILDES-Aligned: A Curated Children's Speech Dataset via Multi-Model Timestamp Ensembling
Haolong Zheng, Yuanzhuo Hu, Xinyu Liang +7
CHILDES is a large-scale child speech corpus containing long-form recordings of naturalistic child-adult interactions, making it a valuable resource for studying child speech and l…