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

Acoustic vocal emotion, prosodic valence, and customer frustration analyzer

Details

External ID
1371213705
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
Hobby / open-source project
Normalized one-liner
vocal emotion and customer frustration analyzer for audio
Manually corrected
False

Could you build this?

Partial While an MCP wrapper skill is easy to code, accurate acoustic vocal emotion and prosodic valence detection requires integrating specialized audio ML models (e.g., wav2vec2-emotion, openSMILE features) or multimodal models with speech processing. Vibe coding can wrap an existing API or open-source Hugging Face model, but building and calibrating accurate prosody extraction is non-trivial.

What it would actually take: Architecture consists of an MCP tool server (Python) running an audio inference pipeline using PyTorch, Torchaudio, or librosa, utilizing pre-trained speech emotion recognition (SER) models like wav2vec2-large-robust-12-ft-emotion. The hardest part is extracting prosodic cues (pitch, jitter, shimmer, speaking rate) in real time and mapping them reliably to customer frustration rather than audio noise. Requires ML engineers familiar with digital signal processing and speech acoustics.

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

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