pith:LT3QH4IW
Preferences of a Voice-First Nation: Large-Scale Pairwise Evaluation and Preference Analysis for TTS in Indian Languages
A controlled pairwise evaluation framework allows reliable ranking of TTS systems for ten Indian languages by collecting multi-dimensional judgments from native speakers.
arxiv:2604.21481 v2 · 2026-04-23 · cs.CL
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Record completeness
Claims
We present a controlled multidimensional pairwise evaluation framework for multilingual TTS that combines linguistic control with perceptually grounded annotation.
That the 120K pairwise comparisons from 1900 native raters, despite acknowledged high variance in speech perception, yield reliable signals for Bradley-Terry leaderboard construction and SHAP interpretation after linguistic controls.
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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Receipt and verification
| First computed | 2026-06-24T01:14:27.920603Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5cf703f116d22857a542e492137620b49e1bd6337e10fde786a8e2faf9801d04
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LT3QH4IW2IUFPJKC4SJBG5RAWS \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 5cf703f116d22857a542e492137620b49e1bd6337e10fde786a8e2faf9801d04
Canonical record JSON
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