A controlled pairwise evaluation framework for multilingual TTS in 10 Indic languages produces a preference leaderboard using Bradley-Terry modeling and SHAP analysis on 120K+ comparisons.
Towards building text-to-speech systems for the next billion users,
2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2verdicts
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LRLspoof corpus and threshold-transfer evaluation demonstrate that spoof detection performance varies markedly across languages, identifying language as an independent domain shift factor.
citing papers explorer
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Preferences of a Voice-First Nation: Large-Scale Pairwise Evaluation and Preference Analysis for TTS in Indian Languages
A controlled pairwise evaluation framework for multilingual TTS in 10 Indic languages produces a preference leaderboard using Bradley-Terry modeling and SHAP analysis on 120K+ comparisons.
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When Spoof Detectors Travel: Evaluation Across 66 Languages in the Low-Resource Language Spoofing Corpus
LRLspoof corpus and threshold-transfer evaluation demonstrate that spoof detection performance varies markedly across languages, identifying language as an independent domain shift factor.