Audio Data
Audio data for voice AI models
Besimple helps voice AI teams collect, license, annotate, and evaluate human audio data without building an internal data operation from scratch.
- Conversation hours
- 3M+
- Audio annotators
- 200+
- Sample turnaround
- 48h
Licensed data collection
Build datasets from consented speakers, realistic prompts, diverse accents, and commercially usable rights instead of scraping unclear public audio.
Annotation and metadata
Add transcription, diarization, quality review, emotion tags, speaker metadata, and domain labels so training data is usable immediately.
Evaluation-ready releases
Package audio, metadata, and audit trails for training, benchmark creation, and repeatable model evaluation workflows.
Use Cases
Where this helps
- Train speech-to-text and omni voice models on natural conversations.
- Expand coverage across languages, accents, domains, and acoustic environments.
- Create benchmark datasets for exact token recovery, vocal affect, and workflow reliability.
- Continuously refresh datasets as production voice agents expose new failure modes.