ASR training
Transcribed speech corpora for recognition models.
Advanced & 3D Labeling
Audio Annotation Services
Verbatim transcription, speaker diarization, and acoustic event labeling for speech and audio AI.
Overview
Speech data spans messy reality: accents, crosstalk, background noise, code-switching. Our audio teams deliver time-aligned verbatim transcription, speaker diarization, and acoustic event labels with word-error-rate QA sampling — across languages, dialects, and challenging acoustic conditions.
What's included
- ✓Verbatim and clean-read transcription with timestamps
- ✓Speaker diarization and identification
- ✓Acoustic event and sound classification
- ✓Phonetic and prosody annotation
- ✓Multilingual and accented speech coverage
- ✓WER-sampled QA with per-batch reports
Use cases
Call analytics
Diarized call-center audio for QA and coaching AI.
Voice assistants
Wake-word and command datasets across accents.
Media indexing
Searchable transcripts and event tags for AV archives.
How we work
1
Scope & pilot
We review your data, define the labeling guide together, and run a paid pilot batch so you can judge quality before scaling.
2
Team & calibrate
A dedicated, trained team ramps on your guidelines, benchmarked against gold-standard tasks until accuracy targets are hit.
3
Produce & QA
Production batches flow through multi-tier QA — consensus review, statistical sampling, and edge-case escalation.
4
Deliver & iterate
Data ships in your format with accuracy reports. Guidelines evolve with your model's failure cases.
Frequently asked questions
How do you guarantee quality foraudio annotation services?
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.
Can we start with a small pilot before committing?
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.
How is our data kept secure?
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.
What tools and output formats do you support?
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.
Ready to scale youraudio annotation services?
Start with a pilot batch — see our quality on your data before you commit.