Evaluate Speech Synthesis Voices for an EdTech Storyteller App
Overview
What this challenge is about.
Generate 60 audio clips, run a MOS study with 15 Spanish speakers, benchmark cost and latency, and deliver a vendor memo. Earn a verifiable certificate.
The scenario
The edtech (around 40 staff, Series A, around 200,000 paying Mexican families) currently uses an in-house TTS that sounds robotic; the head of content needs to ship a more expressive voice before the back-to-school season.
The Brief
What you'll do, and what you'll demonstrate.
Pick the best TTS vendor for Spanish children's storytelling on quality, cost, and latency with a defensible methodology.
Earning criteria — what you'll demonstrate
- Design a listening study that surfaces real perceptual differences
- Compute MOS with honest confidence intervals on small samples
- Combine quality, cost, and latency into a defensible vendor pick
- Translate qualitative perceptual results into a product decision
Program Fit
Where this fits in your program.
Sharpens the same skills your degree expects you to demonstrate.
Aligned coursework coming soon.
Skills
Skills you'll demonstrate.
Each one shows up on your verified credential.
- Tts Evaluation
Apply tts evaluation to solve real industry problems and demonstrate production-level capability.
- Listening Studies
Apply listening studies to solve real industry problems and demonstrate production-level capability.
- Mos Scoring
Apply mos scoring to solve real industry problems and demonstrate production-level capability.
- Vendor Evaluation
Apply vendor evaluation to solve real industry problems and demonstrate production-level capability.
- Data Storytelling
Apply data storytelling to solve real industry problems and demonstrate production-level capability.
- Python
Write clean, efficient Python for data processing, automation, and backend services.
Careers
Career paths this challenge builds toward
Completing this challenge demonstrates skills that transfer directly to these roles:
Applied AI Scientist
Running a perceptual study with honest stats and turning it into a vendor pick is exactly the applied-AI scientist's job at consumer-product AI teams.
This challenge sharpens
- tts-evaluation
- listening-studies
- vendor-evaluation
AI Product Manager
Owning a defensible vendor selection that balances quality and cost is a textbook AI PM responsibility.
This challenge sharpens
- vendor-evaluation
- data-storytelling
- mos-scoring
Data Scientist
Listening-study analysis with bootstrap CIs translates directly to broader data-science work on small-sample research.
This challenge sharpens
- listening-studies
- mos-scoring
- data-storytelling