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Tension VoiceNet dimension guide

Physical Productioncode vn_TENSslot 58
This dimension measures the perceived muscular tightness in throat, jaw and neck. Below: the merge-scaling dose-response for the __high and __low LoRA (laion/moss-voicenet-dimension-loras) at 25/50/75/100/125%, the measured target value at each dose, the top-3 ± correlated EmoNet emotions and VoiceNet dimensions, three audio samples per dose, and a grounded prompting tip. Costs are shifts vs. the 24-sample neutral baseline in genuineness, vocal-burst blend and speech quality.

Tension controls the perceived muscular tightness in throat, jaw and neck. The __high LoRA shifts it +0.58 at 125% (worst cost: burst-blend -0.32); the __low LoRA shifts it -0.08 at 25% (worst cost: genuineness -0.01). The __high direction is the stronger, more reliable knob here.
▲ HIGH — Tension __high
Dose-response
dosetargetΔtargetΔgenuΔblendΔqual
baseline (0%)0.163————
25%0.245+0.08-0.02-0.02-0.02
50%0.588+0.42+0.00-0.14-0.17
75%0.582+0.42-0.03-0.31-0.13
100%0.654+0.49-0.01-0.33-0.28
125% ★0.742+0.58-0.03-0.32-0.29
EmoNet emotion correlation
Anger+0.74
Sourness+0.65
Triumph+0.65
Contemplation-0.71
Contentment-0.71
Affection-0.62
VoiceNet dimension correlation
Dramatic Style+0.96
Metallic Character+0.96
Stance+0.95
Warmth-0.80
Whisper-Talk Style-0.76
Teacher/Didactic Style-0.74
Listen — 3 samples per dose
25%measured target: 0.15 · 0.03 · 0.04
50%measured target: 0.97 · 0.50 · 0.62
75%measured target: 0.12 · 0.66 · 0.92
100%measured target: 0.87 · 0.50 · 0.56
125% ★measured target: 0.78 · 0.53 · 0.89
Merging Tension __high drives the dimension: at the recommended 125% dose the measured Tension score moves from a 0.16 baseline to 0.74 (a +0.58 shift). The dose-response is clean and monotonic — each step pushes the dimension further. That reach is a steep cost — the biggest hit is to burst-blend (-0.32); across the board genuineness -0.03, burst-blend -0.32, speech quality -0.29. Emotionally it reads as Anger (r 0.74), Sourness (0.65) and Triumph (0.65), and it moves away from Contemplation, Contentment and Affection. On other voice dimensions it co-moves most with Dramatic Style (0.96), Metallic Character (0.96) and Stance (0.95), while pulling down Warmth, Whisper-Talk Style and Teacher/Didactic Style. Practical call: merge __high at 100–125%; expect Anger and Dramatic Style to rise and burst-blend to fall. If you don’t want Anger bleeding in, offset it with a prompt cue toward Contemplation to keep the tension shift without the side-effect.
▼ LOW — Tension __low
Dose-response
dosetargetΔtargetΔgenuΔblendΔqual
baseline (0%)0.163————
25% ★0.087-0.08-0.01+0.03+0.09
50%0.126-0.04-0.05+0.01+0.08
75%0.091-0.07-0.01+0.01+0.03
100%0.106-0.06-0.01+0.04+0.04
125%0.119-0.04-0.04-0.05+0.02
EmoNet emotion correlation
Jealousy & Envy+0.42
Fear+0.39
Distress+0.23
Contentment-0.48
Contemplation-0.43
Concentration-0.23
VoiceNet dimension correlation
Dramatic Style+0.82
Stance+0.80
Metallic Character+0.76
Teacher/Didactic Style-0.63
Register-0.53
ASMR Style-0.52
Listen — 3 samples per dose
25% ★measured target: 0.07 · 0.11 · 0.01
50%measured target: 0.09 · 0.08 · 0.39
75%measured target: 0.33 · 0.03 · 0.02
100%measured target: 0.14 · 0.09 · 0.02
125%measured target: 0.05 · 0.22 · 0.20
Merging Tension __low lowers the dimension: at the recommended 25% dose the measured Tension score moves from a 0.16 baseline to 0.09 (a -0.08 shift). The dose-response is noisy and non-monotonic — the merge is an unreliable knob here. That reach is nearly free — the biggest hit is to genuineness (-0.01); across the board genuineness -0.01, burst-blend +0.03, speech quality +0.09. Emotionally it reads as Jealousy & Envy (r 0.42), Fear (0.39) and Distress (0.23), and it moves away from Contentment, Contemplation and Concentration. On other voice dimensions it co-moves most with Dramatic Style (0.82), Stance (0.80) and Metallic Character (0.76), while pulling down Teacher/Didactic Style, Register and ASMR Style. Practical call: merge __low at a light 25–50%; expect Jealousy & Envy and Dramatic Style to rise and genuineness to fall. If you don’t want Jealousy & Envy bleeding in, offset it with a prompt cue toward Contentment to keep the tension shift without the side-effect.
Data: MOSS-VA-v2 base + per-dimension LoRA, neutral text, no reference · 5 merge doses × 8 scored samples/dose · correlations are Pearson r over the sample pool · scaling grid · LoRA repo