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Study reveals ASR-roundtrip evaluation masks TTS reading errors

By PulseAugur Editorial · [1 sources] ·

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]

Read on arXiv cs.CL →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Study reveals ASR-roundtrip evaluation masks TTS reading errors

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Academic paper detailing a new evaluation methodology for TTS systems. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.CL TIER_1 English(EN) · Shijun Luo, Lizhi Wan ·

    ASR-Roundtrip Evaluation Can Mask Context- and Convention-Dependent Reading Errors in Chinese News TTS

    arXiv:2608.10606v1 Announce Type: new Abstract: ASR-roundtrip evaluation is widely used as a scalable proxy for text-to-speech (TTS) intelligibility, but it can produce false negatives for reading errors perceived by listeners. We study Chinese news TTS spans whose correct readin…

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