Same collection workflow, different data requirements. We tailor speakers, prompts, recording conditions, transcription, annotation, and delivery to each use case.
Same collection workflow, different data requirements. The speakers, recording conditions, and deliverables change with each use case.
Wake words, command sets, multilingual passenger dialogue, and cabin noise conditions, captured with the accents your markets actually speak.
Built for in-car voice systems shipping across European regions.
Domain-specific audio with timestamped transcription, low-confidence flags, and structured evaluation splits for STT testing, training, and model improvement.
Coverage extends to harder-to-source dialects, including Nordics and regional varieties.
Controlled scripts, expressive prompts, 48 kHz / 32-bit capture, and linked speaker profiles. Recording specs designed to clear TTS quality bars from the first take.
Studio-quality environment control, take after take.
Multi-speaker dialogue with separated channels, role-play scenarios, plus accessibility-first audio and video capture under controlled consent flows.
Customer support, call routing, accessibility research, and assistive devices.
The use case sets the requirements; these patterns set the standard. Open any to see what changes in the workflow.
Speakers vetted by dialect, age range, and gender, with documented metadata per recording.
Local recording crews and capture rigs in markets where remote-only collection breaks down.
Held-out sets built to expose model regressions early, with versioned splits for reproducible model comparisons.
Three steps from your data spec to a delivered dataset your training pipeline can ingest.
Speakers, dialects, recording conditions, transcript structure, and deliverable format. We agree the spec before anyone records.
On-site or remote, single speaker or dialogue, controlled noise or natural ambience. The capture matches production.
Audio, transcripts, and metadata, manifested for direct ingestion. QA workflows on every project.
For every language a project ships into, we scope the dialects, age bands, and gender splits that matter for the model and recruit native speakers per region.
Where this fits: any STT, TTS, or voice product launching beyond a handful of standard accents.
When remote-only collection cannot reach the speakers or reproduce the conditions, on-site capture keeps the dataset within spec.
Where this fits: automotive, in-field assistive, regional language launches, accessibility research, customer-site recording.
Eval design is part of the deliverable. We agree with the team on what an edge case looks like for the product, then construct the test slices that expose it.
Where this fits: teams treating evaluation as a first-class deliverable rather than a last-minute sanity check.
Tell us the languages, speech type, speakers, recording setup, transcript format, and metadata you need. We return within 48 hours with an initial workflow and data plan.
