158 citations · 158 across the 3 of their papers we have counts for
3 papers
Beyond Naturalness: Probing Automated Text-To-Speech Evaluators on Linguistically Grounded Dimensions
Oluwanifemi Bamgbose, Simon Rosen, Jash Shah +6
Automated Text-to-Speech (TTS) evaluation methods (Mean Opinion Score (MOS) predictors and Audio Large Language Model (Audio-LLM) judges) are expected to reflect human perception,…
AU-Harness: An Open-Source Toolkit for Efficient and Unified Evaluation of AUdio-LLMs
Hoang Nguyen, Sidharth Surapaneni, Akshay Kalkunte +9
Large Audio Language Models (LALMs) are rapidly advancing, but evaluating them remains challenging due to inefficient and nonstandardized toolkits that limit fair comparison and sy…
Homogenization Effects of Large Language Models on Human Creative Ideation
Barrett R. Anderson, Jash Hemant Shah, Max Kreminski
Large language models (LLMs) are now being used in a wide variety of contexts, including as creativity support tools (CSTs) intended to help their users come up with new ideas. But…