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