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

Acoustic vocal emotion, prosodic valence, and customer frustration analyzer

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GITHUB · launched Sep 15, 2026 · 7 upvotes (top 95%) · 0 views

Niche: sentiment analysis software · 32 launches, 0 in the last 7 days · Explore this niche →

Category and tags

  • Horizontal
  • Analytics & BI
  • B2B
  • AI-native
  • Commercial product
  • agent-skills
  • ai-agent
  • bundle-pricing
  • dispute-arbitration
  • emotion-detection
  • hallucination-checker
  • +6 more

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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 : 1007 launches clear the similarity bar, closest 8 shown.

Attention rank: #931 of 1008 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 320 days after the earliest competitor.

The niche, labels, vibe code rating and competitor comparison on this page are analysis by Nicheloom. If you use them, please credit nicheloom.com. How you may use our data.