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genpark-multimodal-voice-prosody-sentiment-analyzer-skill

Multi-modal speech prosody and vocal sentiment analyzer detecting speech rate, pitch variance, and user cognitive fatigue to dynamically calibrate agent response pacing.

Details

External ID
1394814588
Source
GITHUB
Company
—
Product
genpark-multimodal-voice-prosody-sentiment-analyzer-skill
Website domain
genpark.ai
Launched
Sept. 29, 2026
Cohort
—
Upvotes
7
Upvotes percentile
0.05976172175249808
Tags
agent-skills, agent-tools, ai-agent, developer-tools, mcp, mcp-server, model-context-protocol, personal-agent, reflexion, zero-dependency
Fetched at
Sept. 30, 2026, 1:02 a.m.
Updated at
Sept. 30, 2026, 1:02 a.m.

Enrichment

Theme
audio and signal processing tools
Vertical
Horizontal
Function
Analytics & BI
Audience
Developer
AI stance
AI-native
Project type
Hobby / open-source project
Normalized one-liner
speech prosody and sentiment analyzer for voice agents
Manually corrected
False

Could you build this?

Partial A high-level MCP wrapper can be vibe-coded, but real-time acoustic prosody analysis (pitch tracking, formants, speech rate) and cognitive fatigue detection require solid DSP and acoustic feature extraction pipelines.

What it would actually take: Requires an audio processing pipeline utilizing libraries like librosa, Praat/parselmouth, or openSMILE to extract F0 contour, jitter, shimmer, and pause ratios from raw PCM audio streams. A trained classification model or fine-tuned acoustic foundation model (e.g., wav2vec2 or Whisper encoder) must map these features to emotional valence and fatigue states in low latency. Demands knowledge of speech signal processing and audio ML inference.

Competitors

Other products that read as similar to this one — 399 launches clear the similarity bar, closest 8 shown.

Attention rank: #225 of 400 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 334 days after the earliest competitor.

Other launches for this product

Same idea, different domain

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