Verified65% confidenceFactExact time
similarity_boost takes effect only in cloning or specified-voice scenarios; the higher the value, the closer the generated speech is to the reference timbre, but when too high it amplifies noise or accent features in the source audio.
3
Sources
65%
Confidence
Long-term
Relevance
10/12/2026
First Seen
Sources
Related Entities
Related Claims
VerifiedElevenLabs' similarity_boost parameter (range 0–1) controls how closely the generated result aligns with the original voice clone sample; values that are too high can sometimes produce artifacts or a degradation in audio quality.76% similarUnverifiedThe distinction between most consonants and vowels relies on multiple formant cues, so that even if some are masked, redundant information remains available, making them more robust.71% similarUnverified扩散/流匹配模型（如Voicebox、CosyVoice）通过迭代去噪生成连续语音特征，在质量和一致性间取得较好平衡71% similar
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