3 papers
cs.SD2026
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 Models (Audio-LLM) judges) are expected to reflect human perception,…
cs.SD2026
EVA-Bench: A New End-to-end Framework for Evaluating Voice Agents
Tara Bogavelli, Gabrielle Gauthier Melançon, Katrina Stankiewicz +10
Voice agents, artificial intelligence systems that conduct spoken conversations to complete tasks, are increasingly deployed across enterprise applications. However, no existing be…
cs.LG2026
Evaluating Robustness of Large Language Models in Enterprise Applications: Benchmarks for Perturbation Consistency Across Formats and Languages
Tara Bogavelli, Oluwanifemi Bamgbose, Gabrielle Gauthier Melançon +2
Enterprise LLM applications require consistently high quality and reliable performance across diverse scenarios, demanding robustness to minor variations. Existing research shows t…