Voice Assistant NLP Testing (Multilingual Support)

System Under Test
- Languages: EN, ES, FR, JA (with regional variants)
- Accuracy Targets: 95% intent recognition @ 20dB SNR
Testing Methodology
Data Collection
Real-World Samples:
- 10,000+ utterances per language
- Crowdsourced via Mechanical Turk

Edge Case Testing
Test Cases:
- Accented speech (Mexican vs. Spanish Spanish)
- Background noise (restaurant, traffic scenarios)
Model Optimization
Before/After:
| Metric | v1 | v2 |
|---|---|---|
| FR False Rejects | 18% | 6% |
| JA Homophone Errors | 23% | 9% |
Optimization Statistics
Deployment Impact
Customer Satisfaction:
- 4.8★ average rating for speech recognition
- 40% reduction in “try again” prompts

