I’ve had a lot of success in the past with fine tuning STT using synthetic data.
I was doing it for Veterinary (ambient recording -> SOAP notes) which has tons of complex domain-specific language AND it is critically important to get right.
“CPR” transcribing as “see pee are” just doesn’t cut it in that industry.
Synthetic-data fine-tuning is the other credible answer to domain vocabulary. Curious whether you re-benchmark the fine-tune when new base models ship?
I was doing it for Veterinary (ambient recording -> SOAP notes) which has tons of complex domain-specific language AND it is critically important to get right.
“CPR” transcribing as “see pee are” just doesn’t cut it in that industry.