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Documentation Index

Fetch the complete documentation index at: https://assemblyai.com/docs/llms.txt

Use this file to discover all available pages before exploring further.

While AssemblyAI doesn’t provide a built-in way to send audio in segments and receive speaker labels for the entire recording, you can achieve this functionality using TitaNet. We have a detailed cookbook that demonstrates this workflow.

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Using TitaNet for Segmented Audio Processing

To process audio in segments while maintaining speaker labels across the entire recording:
  1. Use TitaNet to segment your audio
  2. Send these segments to AssemblyAI for transcription
  3. Combine the results to get speaker labels for the whole recording

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Step-by-Step Guide

For a detailed walkthrough of this process, including code examples, please refer to our cookbook: Speaker Diarization with Async Chunking This cookbook provides a comprehensive guide on how to implement speaker diarization with asynchronous chunking, allowing you to process large audio files in segments while maintaining accurate speaker labels across the entire recording.