What if diarization detects the wrong number of speakers?

Diarization accuracy varies with audio quality and the number of speakers. If sample lines shown in the speaker selection step do not clearly match the participants, you can re-upload with higher-quality audio or switch to a Full Conversation perspective and manually edit any misattributed lines in the draft review step.

Does it work with more than two speakers?

Yes. SparkVox detects multiple speakers on panel discussions and group calls. You select your voice from the samples shown. Only your utterances feed the drafts.

SparkVox

Request a demo Start trial →

What is speaker diarization and why does it matter for LinkedIn repurposing?

Direct answer

Speaker diarization is the process of identifying and separating different speakers in an audio or video recording - labeling who said what. In SparkVox, diarization is used when you upload a podcast interview or multi-speaker call with Guest or Advisor perspective. It separates your voice from the host's or other participants', so LinkedIn post drafts are written from what you said, not from what everyone said.

Why it matters for podcast guest repurposing

Without speaker diarization, a repurposing tool treats a podcast transcript as one voice. On a typical interview, roughly half the transcript is the host asking questions, reacting, or adding commentary. If the tool cannot tell who said what, it drafts posts that open with the host's setup or quote their questions as if you said them. The result is content that does not sound like you - or worse, content that misattributes ideas.

How SparkVox handles it

When you create a project with Guest (Podcast / Interview) or Advisor (Knowledge & Advisory) perspective using an audio or video source, SparkVox runs diarization using Gladia after captions when needed. The project pauses at awaiting_speaker status and shows 2-3 sample utterances from each detected speaker. You pick the voice that matches you on the mic. Only your utterances feed moment extraction and post generation.

When diarization does not run

Transcript-only uploads (.txt or .srt files) do not support speaker diarization - SparkVox has no audio to analyze. For guest appearances or advisory calls where you want speaker isolation, use the audio or video file, or a YouTube URL, so diarization can run. Transcript projects are limited to Full Conversation or Trainer perspective.

Go deeper

Your recordings are already the content.

Your calls and interviews are already the content. SparkVox writes the posts in your voice - upload one recording and see the drafts before you're charged.

Start 14-day Pro trial →

Free to sign up. Card required for full access. No charge until day 15.