Speaker segmentation
Separate a recording into speaker-labeled time segments.
← AI & Specialized CapabilitiesPYANNOTEAI · SPEAKER & CONVERSATION ANALYSISunderstand the conversation.
understand the conversation.
keep the speakers in context.
We integrate pyannoteAI speaker diarization into audio workflows, helping applications distinguish when different speakers are talking in a recorded conversation.
pyannoteAI
Design, implementation, and integration by AperVue.
Discuss pyannoteAIWhat AperVue can build with pyannoteAI.
Transcript context
Combine speaker segments with an appropriate transcription workflow for more useful review.
Conversation applications
Build interfaces for inspecting conversations and preparing reviewed follow-up.
AN EXAMPLE APPLICATION · INTERNAL TEAMS & SERVICE ORGANIZATIONS
A meeting record people can actually review.
Combine a consented recording, speaker segments, and transcription to create a navigable meeting record. Let a reviewer confirm labels and proposed follow-up before sharing the result.
- 01Recording
- 02Speaker segments
- 03Transcript alignment
- 04Reviewed follow-up
FROM IDEA TO IMPLEMENTATIONA practical scope.
A practical scope.
A useful handoff.
We define the workflow, build and test the connection, and document how your team will use and maintain it.
Your project can include
- Audio-processing integration
- Speaker-labeled review interface
- Transcription workflow connection
Scope reflects the platform’s current APIs, account access, and the requirements of your application.
pyannoteAI documentationLET’S BUILD WHAT’S NEXTBig picture.
Start a conversationBig picture.
Clear next step.
Tell us where you want to go. We’ll help you find the right starting point.