Verified75% confidenceConceptExact time
UTMOS is a reference-free naturalness scoring model based on self-supervised speech representations that outputs a predicted MOS score from 1 to 5.
3
Sources
75%
Confidence
Long-term
Relevance
10/17/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedAutomated machine evaluation of speech naturalness commonly uses prediction models such as UTMOS as substitutes for human evaluation.79% similarUnverifiedModel evaluation results show a synthesized speech naturalness UTMOS score of 3.07.72% similarVerifiedThe mainstream metric for evaluating speech naturalness is Mean Opinion Score (MOS), where human listeners rate samples on a scale of 1 to 5.70% similarUnverifiedSpeech generated by end-to-end TTS models based on deep learning typically achieves a naturalness MOS score of 4.0–4.5 (out of 5), approaching the level of human recordings.63% similarUnverifiedIn speech synthesis, the evaluation standard for quantization quality is generally comparison with the output of the original FP16 model, commonly measured using similarity metrics and subjective audio naturalness ratings (such as MOS).61% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1053550API
curl https://kongchang.com/api/v1/knowledge/claims/1053550MCP
get_claim(id=1053550)