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.
- genpark-multimodal-voice-prosody-sentiment-analyzer-skill · github · 2026-09-29 · 7 upvotes · similarity 0.76
- genpark-multimodal-voice-prosody-sentiment-analyzer-skill · github · 2026-09-29 · 7 upvotes · similarity 0.76
- genpark-voice-pitch-yin-autocorrelation-skill · github · 2026-09-28 · 7 upvotes · similarity 0.58
- genpark-mel-filterbank-log-spectrogram-skill · github · 2026-09-10 · 7 upvotes · similarity 0.57
- genpark-product-review-sentiment-analyzer-skill · github · 2026-09-12 · 7 upvotes · similarity 0.57
- genpark-product-review-sentiment-analyzer-skill · github · 2026-09-12 · 8 upvotes · similarity 0.57
- PrettyPitch · github · 2026-09-22 · 16 upvotes · similarity 0.55
- Miso Labs - emotive voice models · yc · 2026-06-03 · 19 upvotes · similarity 0.54
Other launches for this product
Same idea, different domain
Nobody's really built a analytics & bi tool for Legal yet.