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Chunking VoiceNet dimension guide

Rhythm & Timingcode vn_CHNKslot 41
This dimension measures how words are grouped into breath units and how often the speaker pauses. 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.

Chunking controls how words are grouped into breath units and how often the speaker pauses. The __high LoRA shifts it +0.28 at 125% (worst cost: burst-blend -0.22); the __low LoRA shifts it +0.00 at 50% (worst cost: burst-blend -0.15). The __high direction is the stronger, more reliable knob here.
▲ HIGH — Chunking __high
Dose-response
dosetargetΔtargetΔgenuΔblendΔqual
baseline (0%)0.158————
25%0.188+0.03-0.02-0.06+0.02
50%0.274+0.12-0.04+0.01+0.06
75%0.348+0.19-0.07-0.10+0.08
100%0.417+0.26-0.12-0.22+0.06
125% ★0.434+0.28-0.06-0.22+0.04
EmoNet emotion correlation
Hope/Enthusiasm/Optimism+0.40
Elation+0.27
Amusement+0.18
Helplessness-0.39
Awe-0.39
Fear-0.38
VoiceNet dimension correlation
Brightness+0.90
Arousal Shift+0.80
Smoothness+0.79
Cognitive Load-0.61
Disfluency-0.57
Vulnerability-0.55
Listen — 3 samples per dose
25%measured target: 0.30 · 0.13 · 0.09
50%measured target: 0.27 · 0.42 · 0.17
75%measured target: 0.53 · 0.34 · 0.34
100%measured target: 0.46 · 0.51 · 0.56
125% ★measured target: 0.30 · 0.47 · 0.27
Merging Chunking __high raises the dimension: at the recommended 125% dose the measured Chunking score moves from a 0.16 baseline to 0.43 (a +0.28 shift). The dose-response is clean and monotonic — each step pushes the dimension further. That reach is a real cost — the biggest hit is to burst-blend (-0.22); across the board genuineness -0.06, burst-blend -0.22, speech quality +0.04. Emotionally it reads as Hope/Enthusiasm/Optimism (r 0.40), Elation (0.27) and Amusement (0.18), and it moves away from Helplessness, Awe and Fear. On other voice dimensions it co-moves most with Brightness (0.90), Arousal Shift (0.80) and Smoothness (0.79), while pulling down Cognitive Load, Disfluency and Vulnerability. Practical call: merge __high at 100–125%; expect Hope/Enthusiasm/Optimism and Brightness to rise and burst-blend to fall. If you don’t want Hope/Enthusiasm/Optimism bleeding in, offset it with a prompt cue toward Helplessness to keep the chunking shift without the side-effect.
▼ LOW — Chunking __low
Dose-response
dosetargetΔtargetΔgenuΔblendΔqual
baseline (0%)0.158————
25%0.198+0.04-0.06-0.15+0.03
50% ★0.156+0.00+0.00-0.15-0.10
75%0.172+0.01+0.00-0.18-0.16
100%0.281+0.12-0.10-0.20-0.01
125%0.265+0.11-0.05-0.01+0.05
EmoNet emotion correlation
Concentration+0.28
Sourness+0.25
Bitterness+0.25
Pain-0.39
Fatigue/Exhaustion-0.37
Sadness-0.36
VoiceNet dimension correlation
Brightness+0.76
Arousal Shift+0.75
Structure+0.71
Disfluency-0.68
Vulnerability-0.59
Genuineness-0.51
Listen — 3 samples per dose
25%measured target: 0.29 · 0.22 · 0.10
50% ★measured target: 0.06 · 0.16 · 0.18
75%measured target: 0.30 · 0.08 · 0.07
100%measured target: 0.50 · 0.11 · 0.21
125%measured target: 0.27 · 0.29 · 0.19
Merging Chunking __low lowers the dimension: at the recommended 50% dose the measured Chunking score moves from a 0.16 baseline to 0.16 (a +0.00 shift). The dose-response is mostly ordered but noisy between doses. That reach is a modest cost — the biggest hit is to burst-blend (-0.15); across the board genuineness +0.00, burst-blend -0.15, speech quality -0.10. Emotionally it reads as Concentration (r 0.28), Sourness (0.25) and Bitterness (0.25), and it moves away from Pain, Fatigue/Exhaustion and Sadness. On other voice dimensions it co-moves most with Brightness (0.76), Arousal Shift (0.75) and Structure (0.71), while pulling down Disfluency, Vulnerability and Genuineness. Practical call: merge __low at 25–75%; expect Concentration and Brightness to rise and burst-blend to fall. If you don’t want Concentration bleeding in, offset it with a prompt cue toward Pain to keep the chunking 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