Voice AI
Pricing found
SpectroMood, speech emotion detection with a decision model
42Priority score
Sources: Hacker NewsSignals: comments 0 · points 1
Pricing: $0.09 per
GitHub: https://github.com/ketul93/spectromood
Discovered: 2026-10-09
What it is
What it does
SpectroMood detects speech emotions using a decision model rather than relying solely on transcripts.
Problem
Transcriptions do not capture the user's emotion from audio.
Who pays
Individuals interested in voice AI and emotion detection technology.
Monetization
$0.09 per
Weaknesses
results are not too exciting
What could be built instead
Opportunity
The decision model can be fine-tuned for better accuracy.
MVP
A model that converts audio signals into a pictorial representation to capture emotions.
Differentiation
It differs from traditional methods by utilizing a decision model instead of just transcription.
AI opportunity
AI can create real value by improving the accuracy of emotion detection from audio.
Score breakdown
Інструмент пріоритизації черги на ручну перевірку, НЕ прогноз прибутку.
Demand+0HN 1 балів, +0★/добу, джерел 1
Monetization+18pricing знайдено: $0.09 per
Competition+8null
Niche+6null
BuildDifficulty+10A model that converts audio signals into a pictorial representation to capture emotions.
AI/Automation+8AI can create real value by improving the accuracy of emotion detection from audio.
TrendPenalty-878 схожих за 14 днів — натовп
Evidence
"Voice AI industry still uses transcripts to determine the emotions of the user."
"the known limitations of transcriptions is that it doesn't capture the user's emotion from audio."
"the results are not too exciting, I would say it is just starting, and we can fine-tune the decision model for the same use case."