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Dynamic Arc VoiceNet dimension guide

Temporal Dynamicscode vn_DARCslot 69
This dimension measures the trajectory of loudness across the clip. 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.

Dynamic Arc controls the trajectory of loudness across the clip. The __high LoRA shifts it +0.63 at 125% (worst cost: burst-blend -0.42); the __low LoRA shifts it -0.02 at 25% (worst cost: genuineness -0.01). The __high direction is the stronger, more reliable knob here.
▲ HIGH — Dynamic Arc __high
Dose-response
dosetargetΔtargetΔgenuΔblendΔqual
baseline (0%)0.022————
25%0.112+0.09-0.03-0.13+0.02
50%0.219+0.20-0.04-0.29-0.04
75%0.560+0.54-0.09-0.37-0.09
100%0.643+0.62-0.09-0.41-0.16
125% ★0.653+0.63-0.08-0.42-0.18
EmoNet emotion correlation
Triumph+0.66
Impatience and Irritability+0.61
Contempt+0.56
Contemplation-0.75
Affection-0.59
Contentment-0.56
VoiceNet dimension correlation
Pitch Range+0.96
Arousal+0.94
Metallic Character+0.93
Monologue Style-0.89
Whisper-Talk Style-0.88
Warmth-0.86
Listen — 3 samples per dose
25%measured target: 0.00 · 0.54 · 0.03
50%measured target: 0.07 · 0.33 · 0.15
75%measured target: 0.68 · 0.06 · 0.59
100%measured target: 0.71 · 0.68 · 0.65
125% ★measured target: 0.49 · 0.75 · 0.65
Merging Dynamic Arc __high raises the dimension: at the recommended 125% dose the measured Dynamic Arc score moves from a 0.02 baseline to 0.65 (a +0.63 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 (-0.42); across the board genuineness -0.08, burst-blend -0.42, speech quality -0.18. Emotionally it reads as Triumph (r 0.66), Impatience and Irritability (0.61) and Contempt (0.56), and it moves away from Contemplation, Affection and Contentment. On other voice dimensions it co-moves most with Pitch Range (0.96), Arousal (0.94) and Metallic Character (0.93), while pulling down Monologue Style, Whisper-Talk Style and Warmth. Practical call: merge __high at 100–125%; expect Triumph and Pitch Range to rise and burst-blend to fall. If you don’t want Triumph bleeding in, offset it with a prompt cue toward Contemplation to keep the dynamic arc shift without the side-effect.
▼ LOW — Dynamic Arc __low
Dose-response
dosetargetΔtargetΔgenuΔblendΔqual
baseline (0%)0.022————
25% ★0.000-0.02-0.01+0.10+0.02
50%0.016-0.01+0.00+0.11-0.01
75%0.030+0.01-0.05+0.06+0.06
100%0.060+0.04+0.00+0.07+0.00
125%0.077+0.05+0.04-0.02-0.17
EmoNet emotion correlation
Pain+0.41
Triumph+0.36
Anger+0.36
Awe-0.50
Contemplation-0.49
Interest-0.42
VoiceNet dimension correlation
Playful Style+0.76
Ranting/Angry Style+0.59
Arousal+0.50
Warmth-0.72
Whisper-Talk Style-0.64
Recording Quality-0.57
Listen — 3 samples per dose
25% ★measured target: 0.00 · 0.00 · 0.00
50%measured target: 0.00 · 0.13 · 0.00
75%measured target: 0.01 · 0.00 · 0.00
100%measured target: 0.00 · 0.11 · 0.00
125%measured target: 0.11 · 0.00 · 0.07
Merging Dynamic Arc __low dials back the dimension: at the recommended 25% dose the measured Dynamic Arc score moves from a 0.02 baseline to 0.00 (a -0.02 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 +0.10, speech quality +0.02. Emotionally it reads as Pain (r 0.41), Triumph (0.36) and Anger (0.36), and it moves away from Awe, Contemplation and Interest. On other voice dimensions it co-moves most with Playful Style (0.76), Ranting/Angry Style (0.59) and Arousal (0.50), while pulling down Warmth, Whisper-Talk Style and Recording Quality. Practical call: merge __low at a light 25–50%; expect Pain and Playful Style to rise and genuineness to fall. If you don’t want Pain bleeding in, offset it with a prompt cue toward Awe to keep the dynamic arc 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