XTTS and Orpheus achieve the highest human-rated MOS for Singaporean-accented ATC speech synthesis (3.71 and 3.70), with female voices preferred across models¶
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Evidence · 1 study · designr2·q2
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person · recheck by 2029: tool and model accuracy changes quickly
Subclaims¶
Reading the evidence codes
q is the design tier, i the impact, n the sample, and the kind with its r
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q2 i? In human MOS ratings, XTTS and Orpheus achieve the highest overall scores (3.71 and 3.70) while CSM trails across all dimensions due to truncations and incomplete utterance endings. → Ethan Chew 2026
q2 i? LLM-based scores follow the same ranking but diverge from human judgment, with XTTS showing the largest human-LLM gap (3.71 vs 3.37), and gender accuracy exceeds 96% for all models. → Ethan Chew 2026
Evidence¶
Ethan Chew 2026¶
Ethan Chew, Enjia Wu, Iruss Eng, Ian Lim, Ranen Sim, Brandon Koh, Kaleb Nim, Caden Toh, Wei Dong Soin, Darius Koh, Galen Tay, Prannaya Gupta, Jonathan Koong, Yong Zhi Lim. (2026). ASTRA: A Scalable Next-Generation ATCO Training Simulator with Autonomous Simpilots. https://arxiv.org/abs/2606.18319 doi:10.48550/arxiv.2606.18319
q2 · i? · design · r2
Perceptual MOS evaluation of three fine-tuned TTS models on five dimensions, rated by 21 aviation personnel familiar with ICAO radiotelephony plus an automated LLM evaluator (Gemini 2.5 Flash); each human rater evaluated 9 clips. The paper notes "CSMtrails both mod- els across all dimensions".
"As shown in Table 3,XTTSandOrpheusachieve the highest overall human MOS scores (3.71 and 3.70 respectively)."
Discussion¶
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Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
astra-tts-mos-xtts-orpheus-best |
title |
XTTS and Orpheus achieve the highest human-rated MOS for Singaporean-accented ATC speech synthesis (3.71 and 3.70), with female voices preferred across models |
description |
XTTS and Orpheus achieve the highest human-rated MOS for Singaporean-accented ATC speech synthesis (3.71 and 3.70), with female voices preferred across models |
status |
review |
evidence_strength |
weak |
newest_evidence |
2026 |
recheck_by |
2029 |
generated |
by process:wiki-ingest on 2026-10-10 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — ethan-chew-2026 |
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