[leetharris]

We released a new SOTA ASR as open source just a couple of weeks ago. https://www.rev.com/blog/speech-to-text-technology/introduci...

Take a look. We'll be open sourcing more models very soon!

[mkl]

> These models are accessible under a non-commercial license.

That is not open source.

[threeseed]

Exactly. It is source available but not open source:

https://opensource.org/osd

[yalok]

that's great to hear! amazing performance of the model!

for voice chat bots, however, shorter input utterances are a norm (anywhere from 1-10 sec), with lots of silence in between, so this limitation is a bit sad:

> On the Gigaspeech test suite, Rev’s research model is worse than other open-source models. The average segment length of this corpus is 5.7 seconds; these short segments are not a good match for the design of Rev’s model. These results demonstrate that despite its strong performance on long-form tests, Rev is not the best candidate for short-form recognition applications like voice search.

[staticautomatic]

I'll check it out.

FWIW, in terms of benchmarking, I'm more interested in benchmarks against Gladia, Deepgram, Pyannote, and Speechmatics than whatever is built into the hyperscaler platforms. But I end up doing my own anyway so whatevs.

Also, you guys need any training data? I have >10K hrs of conversational iso-audio :)