A new study published on arXiv highlights the limitations of ASR-roundtrip evaluation for assessing Chinese news text-to-speech (TTS) systems. The research found that this method can mask context- and convention-dependent reading errors, where the TTS system produces a plausible but incorrect pronunciation that an Automatic Speech Recognition (ASR) system still transcribes correctly. Audits of MiMo TTS and CosyVoice systems revealed a significant number of these masked errors, suggesting that ASR-roundtrip evaluation is useful for initial screening but insufficient as a sole ground truth for evaluating reading risks in Chinese news TTS. AI
IMPACT Highlights a critical flaw in evaluating TTS systems, potentially impacting the development of more accurate and context-aware speech synthesis.
RANK_REASON Academic paper detailing a new evaluation methodology for TTS systems. [lever_c_demoted from research: ic=1 ai=1.0]
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