ASR evaluation
Review automatic speech recognition outputs for word accuracy, semantic match, punctuation, intent recognition, and performance across accents or languages.
Audio & speech evaluation
Human listening for reliable voice AI.
Evaluate recognition, synthesis, assistants, wakewords and audio classification across languages, accents and real-world acoustic conditions.
What we evaluate
Speech performance from recognition to synthesis.
Evaluation plans reflect your languages, users, devices, environments and product success criteria.
Voice assistant testing
Evaluate voice assistant responses, conversation flow, intent handling, and user interaction quality in real-world usage scenarios.
Multilingual speech testing
Evaluate speech model performance across languages, dialects, accents, and local speech patterns to support more reliable global voice systems.
Speech synthesis / TTS evaluation
Assess text-to-speech outputs for naturalness, pronunciation, prosody, clarity, speaker consistency, and overall listening experience.
Wakeword and keyword spotting
Measure wakeword and keyword detection accuracy, latency, false accepts, and false rejects across varied acoustic environments.
Audio classification tasks
Review and validate audio labels for emotion, speaker identity, language, acoustic events, domain-specific sounds, and other speech or non-speech features.
Built for voice products
Evaluation matched to real listening conditions.
We combine native-language judgment, acoustic variation and structured error labels to show where voice systems succeed or fail.
01ASR & transcription
02Voice assistants
03TTS & synthetic voices
04Wakewords & audio events
How we deliver
From listening rubric to speech performance insights.
A calibrated workflow turns human listening into comparable measures and clear error examples.
Define test coverage
Align languages, speakers, environments, devices, tasks and metrics.
Execute & listen
Run representative audio tests and collect structured judgments.
Analyze errors
Group recognition, naturalness, latency and acoustic failures.
Report & retest
Deliver metrics, examples, segment findings and follow-up tests.
Evaluate your voice AI for Vietnamese users.
Share your audio samples, model workflow and target metrics. We’ll propose a focused evaluation plan.
Discuss an audio evaluation pilot ↗