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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
1394815275
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 Building an MCP tool schema is trivial, but real-time acoustic prosodic feature extraction (F0 tracking, jitter/shimmer, cognitive fatigue modeling) on audio streams requires specialized DSP/ML pipelines.

What it would actually take: Requires an audio processing pipeline utilizing libraries like librosa, Praat/Parselmouth, or openSMILE alongside custom ML models trained on speech acoustics for fatigue and affect classification. The architecture involves streaming WebRTC/WebSocket audio ingress, chunked FFT/prosody feature extractors, and an MCP server interface exposing telemetry to agents.

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

Nobody's really built a analytics & bi tool for Legal yet.