Cartesia2h agoCartesia Analyzes Why Text-to-Speech Evaluation Breaks Down as Models Improve
Cartesia published an analysis of text-to-speech evaluation challenges, identifying five dimensions of quality: correctness, naturalness, contextual correctness, robustness, and audio quality. The post argues that most current benchmarks rely on Word Error Rate, which only measures correctness, failing to capture the nuanced prosody, streaming stability, and domain-specific accuracy required for enterprise-grade voice agents.