Conversational Audio Data
Conversational audio data for speech and voice AI
We source long-form, natural conversations between real speakers so voice models learn interruptions, turn-taking, accent variation, and messy production speech.
- Speaker formats
- 2+
- Countries covered
- 20+
- Delivery path
- API/S3
Natural dialogue
Capture long conversations with realistic pacing, hesitation, overlap, and speaker turns instead of isolated read speech.
Targeted collection plans
Specify language, accent, domain, microphone, room condition, and speaker profile requirements before collection starts.
Production packaging
Receive audio files, metadata, review notes, and quality reports in formats your training pipeline can consume.
Use Cases
Where this helps
- Improve conversational agents that need robust turn-taking.
- Train models on domain-specific speech in finance, medical, education, retail, logistics, and support workflows.
- Build multi-speaker datasets with speaker labels and quality checks.
- Evaluate model reliability on diverse accents and recording conditions.