Custom speech datasets, built to your spec
When our off-the-shelf catalog doesn’t cover your language, domain, or acoustic conditions, our contributor network records exactly what your model needs, from wake words in far-field noise to hours of in-domain call-center dialogue.
From model requirement to delivered dataset
1 · Spec
We turn your model requirements into a collection spec: language and dialect, speaker demographics, devices, environments, speech type, transcript format, and metadata schema.
2 · Recruit
Vetted native speakers are recruited against your demographic quotas (age, gender, region, accent) with explicit commercial-use consent captured up front.
3 · Record
Scripted prompts or spontaneous conversation, recorded on the devices and in the environments your product will actually encounter: phone, headset, far-field, in-car.
4 · QA
Every session passes automated checks (SNR, clipping, duration) plus human review. Sessions that miss spec are re-recorded, not shipped.
5 · Transcribe
Time-aligned, human-verified transcripts in your convention, verbatim or clean-read, with disfluency, overlap, and code-switch tagging as required.
6 · Deliver
Structured delivery with audio, transcripts, per-speaker metadata, and full consent documentation, in the folder layout and format your pipeline expects.
Tell us what your model needs
Share your target languages, hours, speaker profiles, and timeline. We’ll come back within one business day with a feasibility assessment and a quote.
Not sure how much data you need? Read how much audio data you need to train an ASR model or book a call.