Speech Recognition Model Training
Richly transcribed speech datasets covering varied accents and speaking styles to train and benchmark ASR systems.
Advanced & 3D Labeling
Verbatim transcription, speaker diarization, and acoustic event labeling for speech and audio AI.
Real-world audio is rarely clean — accents shift, speakers talk over each other, background noise interferes, and conversations switch between languages mid-sentence. Our audio annotation teams handle all of it, delivering time-aligned verbatim transcripts, speaker diarization, and acoustic event tagging, with word-error-rate sampling built into QA across a wide range of languages, dialects, and recording conditions.
Richly transcribed speech datasets covering varied accents and speaking styles to train and benchmark ASR systems.
Diarized and labeled call audio to power agent coaching, compliance review, and customer sentiment models.
Command and trigger-phrase datasets captured across accents, environments, and background noise levels.
Searchable transcripts and speaker-tagged segments to enable content discovery, highlight generation, and archival search.
Every project runs through multi-tier QA: annotators are benchmarked against gold-standard tasks before production, batches are statistically sampled against agreed accuracy targets, and ambiguous cases are escalated and documented in a living labeling guide. You receive accuracy reports with every delivery.
Yes — we recommend it. A paid pilot batch on your real data lets you evaluate our quality, turnaround, and communication before scaling. Pilot learnings become the project's labeling guide.
Client data is encrypted in transit and at rest, access is limited to the assigned project team under NDAs, and we support VPN-restricted or client-hosted workflows where data cannot leave your environment. Retention and certified deletion terms are set per engagement.
We work in your annotation platform or ours, and deliver in the format your pipeline expects — COCO, YOLO, Pascal VOC, JSON, CSV, or a custom schema — with delivery via API, cloud bucket, or scheduled export.
Start with a pilot batch — see our quality on your data before you commit.