Deepgram
3 models benchmarked on speech to text. Pick one to see how it did.
Last updated Methodology by Dileep Chagam
Deepgram
- Speech to text3
- Flux English3.90% words wrong, 17th of 193.90% words wrong, 17th of 19
- Flux Multilingual4.96% words wrong, 18th of 194.96% words wrong, 18th of 19
- Nova-33.46% words wrong, 14th of 193.46% words wrong, 14th of 19