trowngon

Vosk https://github.com/alphacep/vosk-api

You don't even need to compare accuracy, you can just check the technology. Facebook model is trained on 256 GPU cards and you can fine-tune it to your domain in a day or two. The release was 2 month ago. There is no way any cloud startup can have something better in production given they have access to just 4 Titan cards.

I believe most people already moved to offline engines. No need to send the data to some random guys like this Assembly. Nemo Conformer from Nvidia, Robust Wav2Vec from Facebook, Vosk. There are dozen options. And the cost is $0.01 per hour, not $0.89 per hour like here.

Another advantage is that you can do more custom things - add words to vocabulary, detect speakers with biometric features, detect emotions.

Movies are no longer just an imagination. Chances are they are shaping the world for real superhero superhuman arrival ;)

Deepspeech project is closed by Mozilla. Developers fired. Now they are Coqui.

Looks like after nvidia 1.5m grant devs returned back ;)

Looks like a fork of Mozilla DeepSpeech by former DeepSpeech developers. What is the relation to the original project?

Irrespective of the subject Deepspeech is very old archtecture with suboptimal results. You'd better try any recent conformer implementations (flashlight, nemo, wenet, etc) or wav2vec.

Assembly AI is at $0.5 per hour, not extremely reasonable these days. With open source models like Facebook RASR or Vosk you can get self-hosted solution with even better accuracy and cost of $0.05 per hour, 10 times cheaper.

Once any of your customers come to require private video setup, you'll come to hosted solution anyway.

Are there open source projects like this?

Vosk supports both Italian and French. French model is trained by Linto project, pretty good one.