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genpark-multimodal-audio-emotion-valence-detector-skill

Acoustic vocal emotion, prosodic valence, and customer frustration analyzer

Details

External ID
1371214399
Source
GITHUB
Company
—
Product
genpark-multimodal-audio-emotion-valence-detector-skill
Website domain
genpark.ai
Launched
Sept. 15, 2026
Cohort
—
Upvotes
7
Upvotes percentile
0.05976172175249808
Tags
agent-skills, ai-agent, bundle-pricing, dispute-arbitration, emotion-detection, hallucination-checker, mcp, mcp-server, model-context-protocol, python, speculative-decoding, zero-dependency
Fetched at
Sept. 19, 2026, 1:17 a.m.
Updated at
Sept. 19, 2026, 1:17 a.m.

Enrichment

Theme
audio and signal processing tools
Vertical
Horizontal
Function
Analytics & BI
Audience
Developer
AI stance
AI-native
Project type
Commercial product
Normalized one-liner
vocal emotion and frustration analyzer for audio streams
Manually corrected
False

Could you build this?

Partial Creating the MCP wrapper and basic signal processing is straightforward, but robust vocal prosody emotion and frustration detection requires trained acoustic ML models.

What it would actually take: The architecture involves an audio feature extraction pipeline (librosa/openSMILE) coupled with pre-trained or fine-tuned acoustic classification models (such as wav2vec 2.0 or HuBERT fine-tuned on emotion datasets like MSP-Podcast) wrapped in a Python MCP server. Acoustic signal processing and ML audio classification expertise are needed.

Competitors

Other products that read as similar to this one — 417 launches clear the similarity bar, closest 8 shown.

Attention rank: #337 of 418 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 319 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.