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Know Who Said What

Speaker diarization automatically detects and labels different speakers in your recordings, so you can see exactly who said what. No pre-registration or voice training is required. LiteScribe separates speakers as Speaker A, B, C and beyond, and you can rename each one for clear, attributable meeting and interview transcripts.

What is Speaker Diarization?

Speaker diarization automatically detects multiple speakers in an audio file and identifies what each speaker said. Instead of getting a single block of text, you receive a transcript where each utterance is tagged with its speaker, making it easy to follow conversations and see who said what. The system works automatically without requiring you to register speakers or provide voice samples beforehand.

  • Automatically identifies different speakers in your recordings
  • Labels each utterance with its speaker (Speaker A, B, C, etc.)
  • Works with any number of speakers
  • No pre-registration or voice samples needed
  • Perfect for meetings, interviews, and multi-person conversations

How It Works

When you enable speaker diarization, LiteScribe analyzes the audio patterns, voice characteristics, and speech patterns to distinguish between different speakers. The system automatically segments the audio and assigns each segment to the appropriate speaker.

  • Upload your audio or video file
  • Enable speaker diarization in transcription settings
  • AI analyzes voice patterns and speech characteristics
  • Each utterance is automatically labeled with its speaker
  • Review and edit speaker labels as needed

Custom Speaker Names

On Pro and Business plans, you can assign custom names to speakers, replacing generic labels like "Speaker A" with actual names. This makes transcripts much easier to read and share with your team.

  • Replace "Speaker A" with actual names (e.g., "Sarah", "John")
  • Edit speaker labels anytime after transcription
  • Speaker timeline visualization shows who spoke when
  • Export transcripts with custom speaker names included
  • Perfect for recurring meetings with the same participants

Use Cases

Speaker diarization is essential for any recording with multiple people, making it easy to follow conversations and identify who said what.

  • Meeting notes - See which team member made each point
  • Interview transcripts - Distinguish between interviewer and interviewee
  • Podcast transcription - Identify host and guest speakers
  • Conference calls - Track contributions from each participant
  • Legal depositions - Maintain clear attribution of statements
FAQ

Frequently Asked Questions

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