/plushcap/analysis/assemblyai/assemblyai-multichannel-speaker-diarization

Using Multichannel and Speaker Diarization

What's this blog post about?

Multichannel transcription and Speaker Diarization are two techniques used in processing audio recordings featuring multiple speakers. The former works with separate channels for each speaker, while the latter focuses on distinguishing speakers within a single-channel recording. Both methods help create structured transcripts that are easy to analyze and use. AssemblyAI offers support for Multichannel transcription and Speaker Diarization through its API and SDKs, allowing users to implement these techniques in their projects. The choice between the two approaches depends on the structure of the audio and specific needs, with Multichannel transcription being more suitable for recordings with separate channels for each speaker, and Speaker Diarization being better suited for single-channel recordings where all speakers share one track.

Company
AssemblyAI

Date published
Dec. 4, 2024

Author(s)
Patrick Loeber

Word count
1767

Language
English

Hacker News points
None found.


By Matt Makai. 2021-2024.