What is the difference between Speaker Diarizaton and Speaker Identification?

Speaker Diarization AI

  • Determines which speaker said which part of the audio

Speaker Identification AI

Determines that:

  • Speaker A’s identity is Dr. Spiegel
  • Speaker B’s identify is Patient Baldwin

How Speaker Diarization and Speaker Identification work together?

It is teamwork between Speech AI, Speaker Diarization and Speaker Identification that enables the association of speaker names with sentences.

Product Determines Example Output Transcript
Speech AI What words and sentences were said in audios Sentence 1: I prescribed an antibiotic for your infection.
Sentence 2: Thank you doctor!
Speech AI
I prescribed an antibiotic for your infection. Thank you doctor!
Speaker Diarization Which speaker said which sentence Speaker A said sentence #1
Speaker B said sentence #2
Speech AI + Speaker Diarization
Speaker A: I prescribed an antibiotic for your infection.
Speaker B: Thank you doctor!
Speaker Identification The identity* of each speaker Speaker A is Dr Spiegel
Speaker B is Patient Baldwin
Speech AI + Speaker Diarization + Speaker Identification**
Dr Spiegel: I prescribed an antibiotic for your infection.
Patient Baldwin: Thank you doctor!

*Identity could be any unique identifier of your choice. E.g. patient_name, provider_name, patient_id, provider_id, patient_email, provider_email

**Speaker Identification works by taking in a voice profile- a short voice sample registered under a speaker

See how to implement Speaker AI