Curated and annotated speaker-verification corpora built to order

Curated and annotated speaker-verification corpora built to order: voiceprint samples tagged to speaker identities and passphrases (clip-to-Speaker-ID and verified-user assignment), vocal-trait annotations (low tone, high pitch, accented speech), quality and mismatch flags on rejected clips, and deliberately-collected hard cases — voice mimics, noisy recordings, distorted audio — escalated to biometric specialists. Stated scale guidance: task scopes around 15,000 speaker samples, 5,000-20,000+ clips per speaker category, a further 3,000-10,000 clips to lift accuracy, hundreds of thousands of clips to start a verification model and millions at large-scale deployment

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Coverage

Universe, instruments and categories.

Industry: Application Software
Instruments: equities
Categories: AlternativeReference

Dataset card

Type: not stated
Format: Audio (speaker clips, passphrase utterances) + Tabular annotation metadata (speaker ID, verified-user flag, vocal-trait tags, quality and mismatch flags, verification-precision and false-rejection metrics)
Volume: The page gives the vendor's own scale guidance, which is the volume answer: hundreds of thousands of clips to start a verification model, 5,000-20,000+ clips per speaker category, 3,000-10,000 more to improve accuracy, and millions of clips in large-scale deployments. Across engagements this implies tens of millions of annotated speaker clips have passed through the workflow, though ownership of each corpus is per-client
Users: N/A — project-based data-labelling and annotation service, no registered-user base; coverage is client engagements and clips produced per shift
History: not stated
Update frequency: not stated
Growth: Active but low-visibility (live service catalogue with current annotation offerings; the organisation record lists 0 employees, so headcount signal is absent or unreported rather than genuinely zero)
Launched: est. 2020 or earlier (organisation record created early 2020; a labelling operation with established project-management methodology and trained-annotator programmes typically predates its indexed record)
Delivery: not stated
Entity mapping: not stated
Sample: not stated
Point-in-time: not stated
Licence: not stated

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