current regex-based speaker's identification which detects spk name based on the context of transcripts is poor quality.

key results:

• apply ner or battery technique to detect speaker's name.
• fast (lived transcripts), low costs, open licenses.

omi can self-host them with high performance if your solution is good enough.

references:

• code: https://github.com/BasedHardware/omi/blob/main/backend/utils/speaker_identification.py https://github.com/BasedHardware/omi/blob/main/backend/routers/transcribe.py