Service
Evaluation & benchmarks
Independent Khmer test sets and human scoring, so you know how well your speech, OCR, voice or chat model works before your customers find out.
What's included
- WER / CER test sets for speech recognition
- OCR accuracy on Khmer documents and signs
- Human scoring of chatbot answers for accuracy, fluency and safety
- Bias checks by region, age, gender and device
- Side-by-side vendor and model comparisons
Sample deliverable
Example benchmark summary (illustrative numbers).
Illustrative example. Real samples come with your free pilot.
Khmer ASR benchmark · conversational test set (6.2 h, 140 speakers)
model WER CER noisy WER
vendor_a 18.4% 9.1% 27.9%
vendor_b 14.2% 7.3% 21.6%
your_model_v3 11.7% 5.8% 16.4%
weakest region: Ratanakiri (+6.1 pts)
weakest device: feature phone (+4.8 pts)How it works
- 1
Define
What “good” means for your product, and which metrics matter.
- 2
Build
A held-out test set your model has never seen.
- 3
Score
Automatic metrics plus native human judges.
- 4
Report
Clear results, error examples and recommendations.
Frequently asked questions
Will you keep the test set private?
Yes. Test sets stay held-out so results remain trustworthy, and for custom projects you own them.
Can you compare several vendors?
Yes. We run the same test set through each model and report the results side by side.
How often should we re-test?
After each model update, or every quarter. Many clients keep a fixed benchmark to track progress over time.
Related services
Start with a free pilot
We produce a small batch to your spec so you can check the quality before you commit.