Researchers have developed a new framework for evaluating Text-to-Speech (TTS) systems in Indian languages, addressing the high variance typically seen in crowdsourced evaluations. This framework uses controlled, multidimensional pairwise comparisons across 10 Indic languages, collecting over 120,000 judgments from more than 1900 native speakers. The study evaluated seven state-of-the-art TTS systems, analyzing preferences across six perceptual dimensions like intelligibility and voice quality to create a multilingual leaderboard and understand model trade-offs. AI
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IMPACT Introduces a novel evaluation methodology for multilingual TTS, potentially improving future speech synthesis development for diverse language groups.
RANK_REASON Academic paper detailing a new evaluation framework for TTS systems.
