2 papers
eess.AS2023
AutoPrep: An Automatic Preprocessing Framework for In-the-Wild Speech Data
Jianwei Yu, Hangting Chen, Yanyao Bian +6
Recently, the utilization of extensive open-sourced text data has significantly advanced the performance of text-based large language models (LLMs). However, the use of in-the-wild…
stat.AP2022
Ease and Equity of Point of Interest Accessibility via Public Transit in the U.S
Alexander Li, Mengyang Liu, Aurimas Racas +3
Equitable access to essential Points of Interest (POIs) such as healthcare facilities and grocery stores via public transit is a critical urban planning challenge. This paper intro…