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Towards a Phonology-Informed Evaluation of Multilingual TTS

Sneha Ray Barman, Neeraj Kumar Sharma, Shakuntala Mahanta · Jul 2, 2026

Citations: 0

Match reason: Matched by broad semantic/index fallback.

Score: 35% Moderate protocol signal Freshness: Warm Status: Ready
Automatic Metrics Multilingual
  • We propose a classifier-based framework that audits TTS output against language-specific phonological patterns using human speech as a benchmark.
  • Testing Assamese advanced tongue root (ATR) vowel harmony with Meta's MMS TTS, we show that a classifier trained on human speech transfers to synthesized speech with minimal loss.
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