Design representative tests
Define speakers, acoustic conditions, domains, tasks, ground truth, and user-impact metrics.
TTS & STT
Speech recognition evaluation
Language-aware ASR testing, error analysis, and improvement plans across speakers, accents, domains, and environments.
The challenge
Word error rate alone does not explain whether users can complete a task—or which language, acoustic, and product conditions drive failure.
We segment recognition performance by the factors that matter: language variety, speaker profile, noise, device, vocabulary, code-switching, and user intent.
Linguistic analysis converts error clusters into data, lexicon, model, UI, and fallback recommendations.
How we work
Evidence first. Decisions visible. Knowledge transferred.
We adapt the depth and sequence to your product stage, language scope, and internal team.
Measure and classify
Run evaluation and categorize substitutions, deletions, insertions, segmentation, entities, and language patterns.
Improve the experience
Prioritize data and model changes alongside confidence behavior, confirmation, correction, and fallback design.
Typical outputs
What your team can use.
- Representative ASR evaluation set
- Segmented quality and user-impact metrics
- Linguistic error taxonomy and analysis
- Model, data, and product recommendations
Keep exploring
Related tts & stt services.
Bring us the brief
Make speech recognition evaluation move.
Tell us what you are building, which languages matter, and where progress is blocked.
Start the conversation